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Dr. Tangao Hu
Hangzhou Normal University

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0 Remote Sensing
0 Geography, Remote Sensing, GIS
0 Enviornment
0 Urban Science
0 Hydro-Ecology

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Research article
Published: 09 May 2021 in Land Degradation & Development
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Land reclamation has occurred extensively worldwide to accommodate urbanization and economic development, especially in developing countries like China. However, we have a limited understanding of the long‐term dynamics and key drivers of land use/cover change in the reclaimed area. In this study, we monitored the detailed spatiotemporal evolutions of land reclamation from 1973 to 2018 in Qiantang New District using time‐series Landsat and Sentinel‐2A images and then compared the differences of landscape changes between reclaimed and inland areas. Key findings include: 1) A significant decreasing trend for Qiantang River along the coastline (212.21 km2 to 80.99 km2) and an increasing trend for constructed land (10.05 km2 to 120.89 km2) from 1973 to 2018 was detected; 2) The development modes of the inland area and reclaimed area were significantly different. Development in the inland area was similar to other Chinese cities, while the reclaimed area was relatively complex with two main changing paths; and 3) Year 2008 was an important turning point in the perspective of urbanization in the study area. Before 2008, urbanization was random and uncontrolled. After 2008, the governance on land appeared and changed the landscape into a compact and uniformed pattern. The proposed framework to reveal the detailed trajectory of land reclamation in small areas provides insights and tools for better understanding the impact of human activities on the landscape pattern in coastal regions under rapid urbanization.

ACS Style

Tangao Hu; Jinjin Fan; Hao Hou; Yao Li; Yue Li; Kangning Huang. Long‐term monitoring and evaluation of land development in a reclamation area under rapid urbanization: A case‐study in Qiantang New District, China. Land Degradation & Development 2021, 1 .

AMA Style

Tangao Hu, Jinjin Fan, Hao Hou, Yao Li, Yue Li, Kangning Huang. Long‐term monitoring and evaluation of land development in a reclamation area under rapid urbanization: A case‐study in Qiantang New District, China. Land Degradation & Development. 2021; ():1.

Chicago/Turabian Style

Tangao Hu; Jinjin Fan; Hao Hou; Yao Li; Yue Li; Kangning Huang. 2021. "Long‐term monitoring and evaluation of land development in a reclamation area under rapid urbanization: A case‐study in Qiantang New District, China." Land Degradation & Development , no. : 1.

Journal article
Published: 15 April 2021 in Remote Sensing
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The rapid urbanization worldwide has brought various environmental problems. The urban heat island (UHI) phenomenon is one of the most concerning issues because of its strong relation with daily lives. Water bodies are generally considered a vital resource to relieve the UHI. In this context, it is critical to develop a method for measuring the cooling effect and scale of water bodies in urban areas. In this study, West Lake and Xuanwu Lake, two famous natural inner-city lakes, are selected as the measuring targets. The scatter plot and multiple linear regression model were employed to detect the relationship between the distance to the lake and land surface temperature based on Landsat 8 Operational Land Imager/Thermal Infrared Sensor (OLI/TIRS) and Sentinel-2 data. The results show that West Lake and Xuanwu Lake massively reduced the land surface temperature within a few hundred meters (471 m for West Lake and 336 m for Xuanwu Lake) and have potential cooling effects within thousands of meters (2900 m for West Lake and 3700 m for Xuanwu Lake). The results provide insights for urban planners to manage tradeoffs between the large lake design in urban areas and the cooling effect demands.

ACS Style

Yaoyao Zheng; Yao Li; Hao Hou; Yuji Murayama; Ruci Wang; Tangao Hu. Quantifying the Cooling Effect and Scale of Large Inner-City Lakes Based on Landscape Patterns: A Case Study of Hangzhou and Nanjing. Remote Sensing 2021, 13, 1526 .

AMA Style

Yaoyao Zheng, Yao Li, Hao Hou, Yuji Murayama, Ruci Wang, Tangao Hu. Quantifying the Cooling Effect and Scale of Large Inner-City Lakes Based on Landscape Patterns: A Case Study of Hangzhou and Nanjing. Remote Sensing. 2021; 13 (8):1526.

Chicago/Turabian Style

Yaoyao Zheng; Yao Li; Hao Hou; Yuji Murayama; Ruci Wang; Tangao Hu. 2021. "Quantifying the Cooling Effect and Scale of Large Inner-City Lakes Based on Landscape Patterns: A Case Study of Hangzhou and Nanjing." Remote Sensing 13, no. 8: 1526.

Journal article
Published: 04 February 2021 in Sustainability
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Mega-sports events have a profound impact on promoting the urbanization process, optimizing the urban spatial structure, and improving the competitiveness of the host city. Taking the 19th Asian Games Hangzhou 2022 (AGH) as an example, we used remote sensing data and a scenario-based model to simulate land-use changes and developments from 2005 to 2025. By setting two scenarios, natural development and AGH-driven development, we explored the impact of AGH on urban development and its driving factors. The results show that (1) cultivated land areas decreased by 369.96 km2, while construction land areas increased by 488.33 km2 among the main land-use types in Hangzhou from 2005 to 2020. Urban areas quickly expanded with the West Lake as the center. (2) Urban sprawl intensity under the AGH-driven scenario is expected to increase by 0.91% compared to in the natural-development scenario, indicating that hosting AGH would accelerate the expansion of urban land, particularly in districts set with sports venues such as Binjiang, Xiaoshan, and Yuhang. The strategic trend of supporting the Qiantang River is obvious. (3) Under the influence of AGH, the centroid of urban construction land shifted towards the southeast, and the spatial direction was remarkable. The construction of venues and supporting facilities, and construction land for public rail transit, are the main direct driving forces of urban expansion. The AGH enhances the pace of urbanization, significantly altering the urban spatial structure and helping the city achieve a major transition from the West Lake Era to the Qiantang River Era. Furthermore, our research can provide insights into other cities that will host mega-sports events.

ACS Style

Jinjin Fan; Yue Li; Wenquan Zhu; Yan Chen; Yao Li; Hao Hou; Tangao Hu. Evaluating the Impact of Mega-Sports Events on Urbanization Focusing on Land-Use Changes Using a Scenario-Based Model. Sustainability 2021, 13, 1649 .

AMA Style

Jinjin Fan, Yue Li, Wenquan Zhu, Yan Chen, Yao Li, Hao Hou, Tangao Hu. Evaluating the Impact of Mega-Sports Events on Urbanization Focusing on Land-Use Changes Using a Scenario-Based Model. Sustainability. 2021; 13 (4):1649.

Chicago/Turabian Style

Jinjin Fan; Yue Li; Wenquan Zhu; Yan Chen; Yao Li; Hao Hou; Tangao Hu. 2021. "Evaluating the Impact of Mega-Sports Events on Urbanization Focusing on Land-Use Changes Using a Scenario-Based Model." Sustainability 13, no. 4: 1649.

Journal article
Published: 10 September 2020 in ISPRS International Journal of Geo-Information
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Multi-stage intrusive complex mapping plays an important role in regional mineralization research. The similarity of lithology characteristics between different stages of intrusions necessitates the use of richer spectral bands, while higher spatial resolution is also essential in small-scale research. In this paper, a multi-source remote sensing data application method was proposed. This method includes a spectral synergy process based on statistical regression and a fusion process using Gram–Schmidt (GS) spectral sharpening. We applied the method with Gaofen-2 (GF2), Sentinel-2, and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data to the mapping of the Mountain Sanfeng intrusive complex in northwest China in which Carboniferous intrusions have been proven to be directly related to the formation of Au deposits in the area. The band ratio (BR) and relative absorption band depth (RBD) were employed to enhance the spectral differences between two stage intrusions, and the Red-Green-Blue (RGB) false colour of the BR and RBD enhancement images performed well in the west and centre. Excellent enhancement results were obtained by making full use of all bands of the synergistic image and using the Band Ratio Matrix (BRM)-Principal Component Analysis (PCA) method in the northeast part of the study area. A crucial improvement in enhancement performance by the GS fusion process and spectral synergy process was thus shown. An accurate mapping result was obtained at the Mountain Sanfeng intrusive complex. This method could support small-scale regional geological survey and mineralization research in this region.

ACS Style

Yuzhou Zhang; Dengrong Zhang; Jinwei Duan; Tangao Hu. Mapping of Intrusive Complex on a Small Scale Using Multi-Source Remote Sensing Images. ISPRS International Journal of Geo-Information 2020, 9, 543 .

AMA Style

Yuzhou Zhang, Dengrong Zhang, Jinwei Duan, Tangao Hu. Mapping of Intrusive Complex on a Small Scale Using Multi-Source Remote Sensing Images. ISPRS International Journal of Geo-Information. 2020; 9 (9):543.

Chicago/Turabian Style

Yuzhou Zhang; Dengrong Zhang; Jinwei Duan; Tangao Hu. 2020. "Mapping of Intrusive Complex on a Small Scale Using Multi-Source Remote Sensing Images." ISPRS International Journal of Geo-Information 9, no. 9: 543.

Journal article
Published: 01 September 2020 in Remote Sensing of Environment
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ACS Style

Dujuan Zhang; Yaozhong Pan; Jinshui Zhang; Tangao Hu; Jianhua Zhao; Nan Li; Qiong Chen. A generalized approach based on convolutional neural networks for large area cropland mapping at very high resolution. Remote Sensing of Environment 2020, 247, 1 .

AMA Style

Dujuan Zhang, Yaozhong Pan, Jinshui Zhang, Tangao Hu, Jianhua Zhao, Nan Li, Qiong Chen. A generalized approach based on convolutional neural networks for large area cropland mapping at very high resolution. Remote Sensing of Environment. 2020; 247 ():1.

Chicago/Turabian Style

Dujuan Zhang; Yaozhong Pan; Jinshui Zhang; Tangao Hu; Jianhua Zhao; Nan Li; Qiong Chen. 2020. "A generalized approach based on convolutional neural networks for large area cropland mapping at very high resolution." Remote Sensing of Environment 247, no. : 1.

Letter
Published: 07 May 2020 in Remote Sensing
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Timely and accurate sea surface wind field (SSWF) information plays an important role in marine environmental monitoring, weather forecasting, and other atmospheric science studies. In this study, a piecewise linear model is proposed to retrieve SSWF information based on the combination of two different satellite sensors (a microwave scatterometer and an infrared scanning radiometer). First, the time series wind speed dataset, extracted from the HY-2A satellite, and the brightness temperature dataset, extracted from the FY-2E satellite, were matched. The piecewise linear regression model with the highest R2 was then selected as the best model to retrieve SSWF information. Finally, experiments were conducted with the Usagi, Fitow, and Nari typhoons in 2013 to evaluate accuracy. The results show that: (1) the piecewise linear model is successfully established for all typhoons with high R2 (greater than 0.61); (2) for all three cases, the root mean square error () and mean bias error (MBE) are smaller than 2.2 m/s and 1.82 m/s, which indicates that it is suitable and reliable for SSWF information retrieval; and (3) it solves the problem of the low temporal resolution of HY-2A data (12 h), and inherits the high temporal resolution of the FY-2E data (0.5 h). It can provide reliable and high temporal SSWF products.

ACS Style

Tangao Hu; Yue Li; Yao Li; Yiyue Wu; Dengrong Zhang. Retrieval of Sea Surface Wind Fields Using Multi-Source Remote Sensing Data. Remote Sensing 2020, 12, 1482 .

AMA Style

Tangao Hu, Yue Li, Yao Li, Yiyue Wu, Dengrong Zhang. Retrieval of Sea Surface Wind Fields Using Multi-Source Remote Sensing Data. Remote Sensing. 2020; 12 (9):1482.

Chicago/Turabian Style

Tangao Hu; Yue Li; Yao Li; Yiyue Wu; Dengrong Zhang. 2020. "Retrieval of Sea Surface Wind Fields Using Multi-Source Remote Sensing Data." Remote Sensing 12, no. 9: 1482.

Journal article
Published: 15 April 2020 in Water
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The land use and land cover changes in rapidly urbanized regions is one of the main causes of water quality deterioration. However, due to the heterogeneity of urban land use patterns and spatial scale effects, a clear understanding of the relationships between land use and water quality remains elusive. The primary purpose of this study is to investigate the effects of land use on water quality across multi scales in a rapidly urbanized region in Hangzhou City, China. The results showed that the response characteristics of stream water quality to land use were spatial scale-dependent. The total nitrogen (TN) was more closely related with land use at the circular buffer scale, whilst stronger correlations could be found between land use and algae biomass at the riparian buffer scales. Under the circular buffer scale, the forest and urban greenspace were more influential to the TN at small buffer scales, whilst significant positive or negative correlations could be found between the TN and the areas of industrial land or the wetland and river as the buffer scales increased. The redundancy analysis (RDA) showed that more than 40% variations in water quality could be explained by the landscape metrics at all circular and riparian buffer scales, and this suggests that land use pattern was an important factor influencing water quality. The variation in water quality explained by landscape metrics increased with the increase of buffer size, and this implies that land use pattern could have a closer correlation with water quality at larger spatial scales.

ACS Style

Yu Song; Xiaodong Song; Guofan Shao; Tangao Hu. Effects of Land Use on Stream Water Quality in the Rapidly Urbanized Areas: A Multiscale Analysis. Water 2020, 12, 1123 .

AMA Style

Yu Song, Xiaodong Song, Guofan Shao, Tangao Hu. Effects of Land Use on Stream Water Quality in the Rapidly Urbanized Areas: A Multiscale Analysis. Water. 2020; 12 (4):1123.

Chicago/Turabian Style

Yu Song; Xiaodong Song; Guofan Shao; Tangao Hu. 2020. "Effects of Land Use on Stream Water Quality in the Rapidly Urbanized Areas: A Multiscale Analysis." Water 12, no. 4: 1123.

Journal article
Published: 07 November 2019 in Water
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Flooding caused by unpredictable high-intensity rainfall events in urban areas has become a global phenomenon due to the combined effect of urbanization and climate change. There are numerous hydrodynamic models for urban flooding simulation and management. However, it is difficult for most of these models to simplify the surface runoff process and still provide high simulation accuracy. In this study, an improved simplified urban storm inundation model (SUSIM) that integrates urban terrain, precipitation, surface runoff and inundation models was proposed to quickly and accurately simulate the different inundation conditions by modifying the urban terrain and catchments. Haining City, China, was selected as a case study in which SUSIM was tested and validated. The results were as follows: (1) Detailed locations and depths of inundation were quickly calculated with high correlation coefficient (≥75%) compared to three actual rainfall events. (2) Four scenarios under different rainfall intensities (5-, 10-, 20- and 50-year return period, respectively) were designed. The maximum inundation depths significantly increased from 403 mm to 1522 mm and the maximum inundation area increased from 2904 m2 to 7330 m2. According to the simulation results, Haining Avenue, the West Mountain Park and the old urban area in the northeast part of the city would encounter the most extensive and severe inundation. The result reveals that the SUSIM could find inundation locations and calculate inundation depth and area quickly. It provides better insights and tools for urban inundation simulation and planning strategies.

ACS Style

Yao Li; Tangao Hu; Gang Zheng; Lida Shen; Jinjin Fan; Dengrong Zhang; Li; Hu; Shen; Fan. An Improved Simplified Urban Storm Inundation Model Based on Urban Terrain and Catchment Modification. Water 2019, 11, 2335 .

AMA Style

Yao Li, Tangao Hu, Gang Zheng, Lida Shen, Jinjin Fan, Dengrong Zhang, Li, Hu, Shen, Fan. An Improved Simplified Urban Storm Inundation Model Based on Urban Terrain and Catchment Modification. Water. 2019; 11 (11):2335.

Chicago/Turabian Style

Yao Li; Tangao Hu; Gang Zheng; Lida Shen; Jinjin Fan; Dengrong Zhang; Li; Hu; Shen; Fan. 2019. "An Improved Simplified Urban Storm Inundation Model Based on Urban Terrain and Catchment Modification." Water 11, no. 11: 2335.

Journal article
Published: 31 October 2019 in Land Degradation & Development
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ACS Style

Tangao Hu; Jiahong Liu; Gang Zheng; Dengrong Zhang; Kangning Huang. Evaluation of historical and future wetland degradation using remote sensing imagery and land use modeling. Land Degradation & Development 2019, 31, 65 -80.

AMA Style

Tangao Hu, Jiahong Liu, Gang Zheng, Dengrong Zhang, Kangning Huang. Evaluation of historical and future wetland degradation using remote sensing imagery and land use modeling. Land Degradation & Development. 2019; 31 (1):65-80.

Chicago/Turabian Style

Tangao Hu; Jiahong Liu; Gang Zheng; Dengrong Zhang; Kangning Huang. 2019. "Evaluation of historical and future wetland degradation using remote sensing imagery and land use modeling." Land Degradation & Development 31, no. 1: 65-80.

Article
Published: 18 April 2019 in Climatic Change
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Greater than 90% probability that heat waves will increase globally through the twenty-first century, poses a serious threat to China—the world’s largest rice producer. Under climate change, understanding whether and how the spatial pattern of rice exposure to heat stress (EHS) in China has changed is urgently required for adaptation optimization; however, it remains unclear. Here, we examined the changes in the area exposed to heat stress and historical movements of the geographical centroid of rice EHS over 1980–2015 across the major irrigated rice-growing areas in mainland China. Our results showed that the rice-planted area exposed to heat stress has generally increased especially over the 2010s and the geographical centroid of rice EHS has moved significantly throughout the past decades. Particularly, the northern parts of the mid-lower reaches of Yangtze River witnessed a substantial spread in rice EHS since the 1990s, mainly detected in Jiangsu province; its EHS centroid moved northeastward significantly over the past decades. In southern China, the rice-planted area exposed to heat stress has increased more than threefold from the 2000s to 2010s, and the EHS centroid mainly wandered in the southern parts over the 2010s.

ACS Style

Pin Wang; Tangao Hu; Feng Kong; Dengrong Zhang. Changes in the spatial pattern of rice exposure to heat stress in China over recent decades. Climatic Change 2019, 154, 229 -240.

AMA Style

Pin Wang, Tangao Hu, Feng Kong, Dengrong Zhang. Changes in the spatial pattern of rice exposure to heat stress in China over recent decades. Climatic Change. 2019; 154 (1-2):229-240.

Chicago/Turabian Style

Pin Wang; Tangao Hu; Feng Kong; Dengrong Zhang. 2019. "Changes in the spatial pattern of rice exposure to heat stress in China over recent decades." Climatic Change 154, no. 1-2: 229-240.

Journal article
Published: 06 December 2018 in European Journal of Agronomy
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Extreme cold events have always been great threats to the major rice-cultivation areas across China. The spatial pattern of rice exposure to cold stress (ECS) is critical to develop countrywide adaptation strategies. Under climate change, whether and how ECS spatial pattern has changed? These answers are urgently required for adaptation optimization, but regrettably remain unclear. Here, we examined the changes in rice-planted area exposed to cold stress across mainland China, and historical movements of the geographical centroids of rice ECS over 1980–2015. The results showed that in the single rice cultivation of northeast China and the Yunan-Guizhou plateau, the area exposed to cold stress has shrunk significantly and the centroid moved northward since the 1980s. The southern parts of the mid-lower reaches of Yangtze River witnessed a continuous decrease in the area exposed to cold stress from the 1980s to 2000s, but a large expansion over the 2010s. In south China, the areas exposed to cold stress mainly gathered in the northern parts and showed large variations since the 1980s. These two regions dominant by double rice have witnessed westward movements of ECS centroids over the past decades.

ACS Style

Pin Wang; Tangao Hu; Feng Kong; Junfeng Xu; Dengrong Zhang. Rice exposure to cold stress in China: how has its spatial pattern changed under climate change? European Journal of Agronomy 2018, 103, 73 -79.

AMA Style

Pin Wang, Tangao Hu, Feng Kong, Junfeng Xu, Dengrong Zhang. Rice exposure to cold stress in China: how has its spatial pattern changed under climate change? European Journal of Agronomy. 2018; 103 ():73-79.

Chicago/Turabian Style

Pin Wang; Tangao Hu; Feng Kong; Junfeng Xu; Dengrong Zhang. 2018. "Rice exposure to cold stress in China: how has its spatial pattern changed under climate change?" European Journal of Agronomy 103, no. : 73-79.

Journal article
Published: 14 August 2018 in IEEE Transactions on Geoscience and Remote Sensing
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Tropical cyclones (TCs) are weather systems with vast destructive power. A key element in issuing warnings for TCs approaching land is the accurate and timely knowledge of the location of the circulation center. Current procedures are usually performed with manual input from a human analyst. Since subjective elements are involved in this process, analysts could disagree on the results even when multiple factors are considered. In this paper, we propose a new method for the automatic determination of the center of TCs using HY-2 and Quick Scatterometer wind vector products. First, we calculate the high-wind speed zone from the wind speed map. Next, we extract the vortexlike zone using the wind direction map. Finally, we automatically determine the center from the vortexlike zone. Six representative TCs (Haikui, Saola, Usagi, Florence, Ioke, and Gordon) and seventeen TCs in the 2013-2016 seasons are used to validate the TC center automatic determination (TCCAD) method. The results show that 1) the accuracy of the TCCAD method is close to that of the human expert method for most TCs and 2) the standard deviation in the TCCAD method is much smaller than that in the human expert method, which indicates that the TCCAD method is more efficient and reliable. Although the TCCAD method has some limitations because of the quality of scatterometer products and problems with the structure of TC eyes, it can automatically provide the practical, independent, and objective identification of TC centers.

ACS Style

Tangao Hu; Yiyue Wu; Gang Zheng; Dengrong Zhang; Yuzhou Zhang; Yao Li. Tropical Cyclone Center Automatic Determination Model Based on HY-2 and QuikSCAT Wind Vector Products. IEEE Transactions on Geoscience and Remote Sensing 2018, 57, 709 -721.

AMA Style

Tangao Hu, Yiyue Wu, Gang Zheng, Dengrong Zhang, Yuzhou Zhang, Yao Li. Tropical Cyclone Center Automatic Determination Model Based on HY-2 and QuikSCAT Wind Vector Products. IEEE Transactions on Geoscience and Remote Sensing. 2018; 57 (2):709-721.

Chicago/Turabian Style

Tangao Hu; Yiyue Wu; Gang Zheng; Dengrong Zhang; Yuzhou Zhang; Yao Li. 2018. "Tropical Cyclone Center Automatic Determination Model Based on HY-2 and QuikSCAT Wind Vector Products." IEEE Transactions on Geoscience and Remote Sensing 57, no. 2: 709-721.

Journal article
Published: 25 May 2018 in Remote Sensing
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As the worst natural disaster on record in Dominica and Puerto Rico, Hurricane Maria in September 2017 had a large impact on the vegetation of these islands. In this paper, multitemporal Landsat 8 OLI and Sentinel-2 data are used to investigate vegetation damage on Dominica and Puerto Rico by Hurricane Maria, and related influencing factors are analyzed. Moreover, the changes in the normalized difference vegetation index (NDVI) in the year 2017 are compared to reference years (2015 and 2016). The results show that (1) there is a sudden drop in NDVI values after Hurricane Maria’s landfall (decreased about 0.2) which returns to near normal vegetation after 1.5 months; (2) different land cover types have different sensitivities to Hurricane Maria, whereby forest is the most sensitive type, then followed by wetland, built-up, and natural grassland; and (3) for Puerto Rico, the vegetation damage is highly correlated with distance from the storm center and elevation. For Dominica, where the whole island is within Hurricane Maria’s radius of maximum wind, the vegetation damage has no obvious relationship to elevation or distance. The study provides insight into the sensitivity and recovery of vegetation after a major land-falling hurricane, and may lead to improved vegetation protection strategies.

ACS Style

Tangao Hu; Ronald B. Smith. The Impact of Hurricane Maria on the Vegetation of Dominica and Puerto Rico Using Multispectral Remote Sensing. Remote Sensing 2018, 10, 827 .

AMA Style

Tangao Hu, Ronald B. Smith. The Impact of Hurricane Maria on the Vegetation of Dominica and Puerto Rico Using Multispectral Remote Sensing. Remote Sensing. 2018; 10 (6):827.

Chicago/Turabian Style

Tangao Hu; Ronald B. Smith. 2018. "The Impact of Hurricane Maria on the Vegetation of Dominica and Puerto Rico Using Multispectral Remote Sensing." Remote Sensing 10, no. 6: 827.

Journal article
Published: 09 May 2018 in Scientific Reports
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Accurate and timely information describing urban wetland resources and their changes over time, especially in rapidly urbanizing areas, is becoming more important. We applied an object-based image analysis and nearest neighbour classifier to map and monitor changes in land use/cover using multi-temporal high spatial resolution satellite imagery in an urban wetland area (Hangzhou Xixi Wetland) from 2000, 2005, 2007, 2009 and 2013. The overall eight-class classification accuracies averaged 84.47% for the five years. The maps showed that between 2000 and 2013 the amount of non-wetland (urban) area increased by approximately 100%. Herbaceous (32.22%), forest (29.57%) and pond (23.85%) are the main land-cover types that changed to non-wetland, followed by cropland (6.97%), marsh (4.04%) and river (3.35%). In addition, the maps of change patterns showed that urban wetland loss is mainly distributed west and southeast of the study area due to real estate development, and the greatest loss of urban wetlands occurred from 2007 to 2013. The results demonstrate the advantages of using multi-temporal high spatial resolution satellite imagery to provide an accurate, economical means to map and analyse changes in land use/cover over time and the ability to use the results as inputs to urban wetland management and policy decisions.

ACS Style

Tangao Hu; Jiahong Liu; Gang Zheng; Yao Li; Bin Xie. Quantitative assessment of urban wetland dynamics using high spatial resolution satellite imagery between 2000 and 2013. Scientific Reports 2018, 8, 7409 .

AMA Style

Tangao Hu, Jiahong Liu, Gang Zheng, Yao Li, Bin Xie. Quantitative assessment of urban wetland dynamics using high spatial resolution satellite imagery between 2000 and 2013. Scientific Reports. 2018; 8 (1):7409.

Chicago/Turabian Style

Tangao Hu; Jiahong Liu; Gang Zheng; Yao Li; Bin Xie. 2018. "Quantitative assessment of urban wetland dynamics using high spatial resolution satellite imagery between 2000 and 2013." Scientific Reports 8, no. 1: 7409.

Journal article
Published: 07 November 2017 in IEEE Geoscience and Remote Sensing Letters
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The location of a typhoon center plays an important role in moving track monitoring and forecasting. More and more new satellites are used to monitor typhoons. Combining multiple sources of satellite data has become popular for tropical cyclone monitoring in recent years. In this letter, we demonstrate a robust method of locating the typhoon center based on meteorological satellite (Feng Yun-2 (FY-2) satellite) and microwave scatterometer data (Hai Yang-2 (HY-2) scatterometer). First, we locate the typhoon center using HY-2 and FY-2 data independently. Next, we combine the results of the HY-2 and FY-2 analysis to produce an improved method of locating typhoon centers. Finally, three representative typhoons (“ChanHom,” “Soudelor,” and “DuJuan”) are used to validate our methodology. The results show that: 1) compared to FY-2 satellite data, the proposed results have more information on wind speed and direction and 2) compared to HY-2 satellite data, the proposed results have higher temporal resolution. Overall, the proposed method can improve typhoon monitoring results.

ACS Style

Tangao Hu; Xiao Wang; Dengrong Zhang; Gang Zheng; Yuzhou Zhang; Yiyue Wu; Bin Xie. Study on Typhoon Center Monitoring Based on HY-2 and FY-2 Data. IEEE Geoscience and Remote Sensing Letters 2017, 14, 2350 -2354.

AMA Style

Tangao Hu, Xiao Wang, Dengrong Zhang, Gang Zheng, Yuzhou Zhang, Yiyue Wu, Bin Xie. Study on Typhoon Center Monitoring Based on HY-2 and FY-2 Data. IEEE Geoscience and Remote Sensing Letters. 2017; 14 (12):2350-2354.

Chicago/Turabian Style

Tangao Hu; Xiao Wang; Dengrong Zhang; Gang Zheng; Yuzhou Zhang; Yiyue Wu; Bin Xie. 2017. "Study on Typhoon Center Monitoring Based on HY-2 and FY-2 Data." IEEE Geoscience and Remote Sensing Letters 14, no. 12: 2350-2354.

Journal article
Published: 01 October 2016 in Guang pu xue yu guang pu fen xi = Guang pu
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ACS Style

Hong-Tao Liu; Zhi-Li Chen; Tangao Hu; Jian-Jun Liang; Qiang Liu; Xiao-Lin Wei. Analytic Study on the Characteristics of Infrared Spectrum of Oil Pool Flame. Guang pu xue yu guang pu fen xi = Guang pu 2016, 36, 3442 -8.

AMA Style

Hong-Tao Liu, Zhi-Li Chen, Tangao Hu, Jian-Jun Liang, Qiang Liu, Xiao-Lin Wei. Analytic Study on the Characteristics of Infrared Spectrum of Oil Pool Flame. Guang pu xue yu guang pu fen xi = Guang pu. 2016; 36 (10):3442-8.

Chicago/Turabian Style

Hong-Tao Liu; Zhi-Li Chen; Tangao Hu; Jian-Jun Liang; Qiang Liu; Xiao-Lin Wei. 2016. "Analytic Study on the Characteristics of Infrared Spectrum of Oil Pool Flame." Guang pu xue yu guang pu fen xi = Guang pu 36, no. 10: 3442-8.

Proceedings article
Published: 01 July 2014 in 2014 IEEE Geoscience and Remote Sensing Symposium
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Chosen the winter crop yield data from agro-meteorological sites and ISDI results during 2000-2009 in Mid-eastern China, the corresponding relationship between drought and winter crop yield was analyzed using confusion matrix and Kappa coefficient. The results shows that the high or low values of ISDI can reflect the crop yield reduction condition caused by the drought or flood; the normal values of ISDI can reflect the crop yield increasing and fluctuation in normal condition. ISDI monitored drought condition has obvious corresponding relationship with crop yield change. This also proved that ISDI can accurate monitor the drought events occurred during winter crop growing season.

ACS Style

Lei Zhou; Jianjun Wu; Tangao Hu; Song Leng; Jianhui Zhang; Ming Liu; Lin Zhao. The investigation of relationship between integrated surface drought index (ISDI) detected drought condition and crop yield. 2014 IEEE Geoscience and Remote Sensing Symposium 2014, 2050 -2053.

AMA Style

Lei Zhou, Jianjun Wu, Tangao Hu, Song Leng, Jianhui Zhang, Ming Liu, Lin Zhao. The investigation of relationship between integrated surface drought index (ISDI) detected drought condition and crop yield. 2014 IEEE Geoscience and Remote Sensing Symposium. 2014; ():2050-2053.

Chicago/Turabian Style

Lei Zhou; Jianjun Wu; Tangao Hu; Song Leng; Jianhui Zhang; Ming Liu; Lin Zhao. 2014. "The investigation of relationship between integrated surface drought index (ISDI) detected drought condition and crop yield." 2014 IEEE Geoscience and Remote Sensing Symposium , no. : 2050-2053.

Conference paper
Published: 01 July 2014 in 2014 IEEE Geoscience and Remote Sensing Symposium
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This paper has presented a hard and soft classification model that based on hard and soft classification technique to mapping vegetation distributions. It chose SVMs class image as hard classification model and LSMM results as soft classification model. Through a new adaptive threshold algorithm which could define pure and mixed regions of vegetation automatically to combine hard classification results and soft classification results. In the agricultural landscapes of Southeast Beijing City, results from the proposed model were assessed at a range of spatial scales. Results of vegetation distributions were compared with hard classification model and soft classification model with RMSE. Accuracy assessment showed that hard and soft classification model could get better results.

ACS Style

Tangao Hu; Wenyuan Wu; Lijuan Liu. Combination of hard and soft classification method based on adaptive threshold. 2014 IEEE Geoscience and Remote Sensing Symposium 2014, 4180 -4183.

AMA Style

Tangao Hu, Wenyuan Wu, Lijuan Liu. Combination of hard and soft classification method based on adaptive threshold. 2014 IEEE Geoscience and Remote Sensing Symposium. 2014; ():4180-4183.

Chicago/Turabian Style

Tangao Hu; Wenyuan Wu; Lijuan Liu. 2014. "Combination of hard and soft classification method based on adaptive threshold." 2014 IEEE Geoscience and Remote Sensing Symposium , no. : 4180-4183.

Journal article
Published: 06 January 2014 in IEEE Geoscience and Remote Sensing Letters
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China is the country worst affected by tropical cyclones in the Asia-Pacific region. The use of remote sensing data can help improve emergency preparedness for such events. In this letter, we evaluate the performance of HY-2 scatterometer data for monitoring Saola, Haikui, and Usagi typhoons, and consider QuikSCAT data for Florence, Ioke, and Gorden hurricanes. We use the means and standard deviation of the great circle distance to assess the typhoon track, and the t-test, mean error, and scatter index to evaluate the accuracy of typhoon intensity. Our results show that the HY-2 has the ability similar to that of QuikSCAT, suggesting that HY-2 has potential for application in typhoon monitoring.

ACS Style

Dengrong Zhang; Yuzhou Zhang; Tangao Hu; Bin Xie; Junfeng Xu. A Comparison of HY-2 and QuikSCAT Vector Wind Products for Tropical Cyclone Track and Intensity Development Monitoring. IEEE Geoscience and Remote Sensing Letters 2014, 11, 1365 -1369.

AMA Style

Dengrong Zhang, Yuzhou Zhang, Tangao Hu, Bin Xie, Junfeng Xu. A Comparison of HY-2 and QuikSCAT Vector Wind Products for Tropical Cyclone Track and Intensity Development Monitoring. IEEE Geoscience and Remote Sensing Letters. 2014; 11 (8):1365-1369.

Chicago/Turabian Style

Dengrong Zhang; Yuzhou Zhang; Tangao Hu; Bin Xie; Junfeng Xu. 2014. "A Comparison of HY-2 and QuikSCAT Vector Wind Products for Tropical Cyclone Track and Intensity Development Monitoring." IEEE Geoscience and Remote Sensing Letters 11, no. 8: 1365-1369.

English abstract
Published: 01 April 2013 in Guang pu xue yu guang pu fen xi = Guang pu
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ACS Style

Tangao Hu; Jun-Feng Xu; Deng-Rong Zhang; Jie Wang; Yu-Zhou Zhang. [Hard and soft classification method of multi-spectral remote sensing image based on adaptive thresholds]. Guang pu xue yu guang pu fen xi = Guang pu 2013, 33, 1 .

AMA Style

Tangao Hu, Jun-Feng Xu, Deng-Rong Zhang, Jie Wang, Yu-Zhou Zhang. [Hard and soft classification method of multi-spectral remote sensing image based on adaptive thresholds]. Guang pu xue yu guang pu fen xi = Guang pu. 2013; 33 (4):1.

Chicago/Turabian Style

Tangao Hu; Jun-Feng Xu; Deng-Rong Zhang; Jie Wang; Yu-Zhou Zhang. 2013. "[Hard and soft classification method of multi-spectral remote sensing image based on adaptive thresholds]." Guang pu xue yu guang pu fen xi = Guang pu 33, no. 4: 1.