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Currently, Songkhla Province of Thailand has been recognized as a convenient hub of rubber industry development, accompanied by an attendant abundance of rubber tree plantations. A spatialized assessment of the rubber tree was carried out to estimate its aboveground biomass potentials using remote sensing techniques and ecosystem modeling procedures. Moderate Resolution Imaging Spectroradiometer satellite-based estimations of the net primary productivity were derived and complemented with a calculated generic model, to quantify the respective above ground biomass potentials para rubber. Above ground biomass assessment findings revealed a mean value of 82.1 tonnes C ha−1 and an aggregate of 31. 9 million tonnes C ha−1 which is the theoretical potential, this is segregated into energy usable, and other economic purpose biomass potentials, with corresponding value ranges of 1624.1 to 6,041,531.2 million tonnes C ha−1 and 85.5 to 317,975.6 thousand tonnes C ha−1 respectively. Besides the theoretical above ground biomass potential (entire biomass accumulation ratio) commonly evaluated, the other potentials, which include naturally obtainable biomass usable for energy generation and the remaining share of the feedstock for non-energy uses, have been brought to light. Songkhla province has the potential for good carbon sink and sustainable supply of different pools of feedstock from the rubber tree that reinforces each other in providing a comprehensive view of biomass in energy and non-energy opportunities. The socioeconomic production and value chain analysis of the identified biomass pools needs to be evaluated; this will consequently guide policy toward a comprehensive rubber sector sustainable development.
John Nyandansobi Simon; Narissara Nuthammachot; Teerawet Titseesang; Kingsley Ezechukwu Okpara; Kuaanan Techato. Spatial Assessment of Para Rubber (Hevea brasiliensis) above Ground Biomass Potentials in Songkhla Province, Southern Thailand. Sustainability 2021, 13, 9344 .
AMA StyleJohn Nyandansobi Simon, Narissara Nuthammachot, Teerawet Titseesang, Kingsley Ezechukwu Okpara, Kuaanan Techato. Spatial Assessment of Para Rubber (Hevea brasiliensis) above Ground Biomass Potentials in Songkhla Province, Southern Thailand. Sustainability. 2021; 13 (16):9344.
Chicago/Turabian StyleJohn Nyandansobi Simon; Narissara Nuthammachot; Teerawet Titseesang; Kingsley Ezechukwu Okpara; Kuaanan Techato. 2021. "Spatial Assessment of Para Rubber (Hevea brasiliensis) above Ground Biomass Potentials in Songkhla Province, Southern Thailand." Sustainability 13, no. 16: 9344.
Fire is one of the main causes of environmental and ecosystem change. Geospatial data, derived from satellite images and surveying observations, are a useful tool in managing land use and land cover changes. In this paper, we present a multi-criteria-based geographical information system (GIS) for fire risk assessment and fire potential mapping in a peat swamp forest at Hua Sai district, Thailand. Fifty-five fire points in peat swamp areas were reported from 2012 to 2016. Analytic hierarchy process (AHP) and GIS methods were used synergistically to analyze the following contributing factors: elevation, slope, aspect, precipitation, distance from river, distance from settlement and land use. The results of the present study indicate that the predicted fire risk areas from the methodology proposed are found to be in agreement with recorded past fire events. The fire risk map produced can be used for planning and management of wildland fire events in the future. GIS multi-criteria-based models have been developed in the context of fire prognosis; however, most of them attribute weights from simple pair-wise comparisons; we showcase that the integration of AHP provides accurate results for this study area in Thailand.
Narissara Nuthammachot; Dimitris Stratoulias. Multi-criteria decision analysis for forest fire risk assessment by coupling AHP and GIS: method and case study. Environment, Development and Sustainability 2021, 1 -16.
AMA StyleNarissara Nuthammachot, Dimitris Stratoulias. Multi-criteria decision analysis for forest fire risk assessment by coupling AHP and GIS: method and case study. Environment, Development and Sustainability. 2021; ():1-16.
Chicago/Turabian StyleNarissara Nuthammachot; Dimitris Stratoulias. 2021. "Multi-criteria decision analysis for forest fire risk assessment by coupling AHP and GIS: method and case study." Environment, Development and Sustainability , no. : 1-16.
Oil palm (Elaeis guineensis) trees are an important contributor of recent economic development in Southeast Asia. The high product yield, and the consequent high profitability, has led to a widespread expansion of plantations in the greater region. However, oil palms are susceptible to diseases that can have a detrimental effect. In this study we use hyper- and multi-spectral remote sensing to detect diseased oil palm trees in Krabi province, Thailand. Proximate spectroscopic measurements were used to identify and discern differences in leaf spectral radiance; the results indicate a relatively higher radiance in visible and near-infrared for the healthy leaves in comparison to the diseased. From a total of 113 samples for which the geolocation and the hyperspectral radiance were recorded, 59 and 54 samples were healthy and diseased oil palm trees, respectively. Moreover, a WorldView-2 satellite image was used to investigate the usability of traditional vegetation indices and subsequently detecting diseased oil palm trees. The results show that the overall maximum likelihood classification accuracy is 85.98%, the Kappa coefficient 0.71 and the producer’s accuracy for healthy and diseased oil palm trees 83.33 and 78.95, respectively. We conclude that high spatial and spectral resolutions can play a vital role in monitoring diseases in oil palm plantations.
Rachane Malinee; Dimitris Stratoulias; Narissara Nuthammachot. Detection of Oil Palm Disease in Plantations in Krabi Province, Thailand with High Spatial Resolution Satellite Imagery. Agriculture 2021, 11, 251 .
AMA StyleRachane Malinee, Dimitris Stratoulias, Narissara Nuthammachot. Detection of Oil Palm Disease in Plantations in Krabi Province, Thailand with High Spatial Resolution Satellite Imagery. Agriculture. 2021; 11 (3):251.
Chicago/Turabian StyleRachane Malinee; Dimitris Stratoulias; Narissara Nuthammachot. 2021. "Detection of Oil Palm Disease in Plantations in Krabi Province, Thailand with High Spatial Resolution Satellite Imagery." Agriculture 11, no. 3: 251.
Drought monitoring is of utmost concern in the efficient management of resources, for which several drought indices exist. Rainfall is the key indicator in monitoring drought, but temperature is also an important parameter in the occurrence of drought as it controls evapotranspiration. The study reported in this paper investigated periods of drought in the arid zone of Balochistan province of Pakistan using Standardized Precipitation Index (SPI) and Standardized Precipitation Evapotranspiration Index (SPEI) based on monthly rainfall and temperature data for 38 years (1981–2018) from ten weather stations. Both SPI and SPEI were found successfully to detect temporal variation in drought at different time scales (1, 3, 6, 9, and 12 months). However, SPEI was successful in identifying more severe to extreme events in the study area at higher time scales and moderate droughts at lower timescales. The results show that temperature is an important parameter in drought characterization and the use of SPI is recommended only where temperature data is missing. Pearson correlation coefficients indicated positive relationships between SPI and SPEI. The Mann-Kendall test was applied to establish the trend in drought over the period studied, and Sen’s slope estimation detected an increasing trend in severity from lower to higher timescales.
Zahid Naeem Qaisrani; Narissara Nuthammachot; Kuaanan Techato; Asadullah. Drought monitoring based on Standardized Precipitation Index and Standardized Precipitation Evapotranspiration Index in the arid zone of Balochistan province, Pakistan. Arabian Journal of Geosciences 2021, 14, 1 -13.
AMA StyleZahid Naeem Qaisrani, Narissara Nuthammachot, Kuaanan Techato, Asadullah. Drought monitoring based on Standardized Precipitation Index and Standardized Precipitation Evapotranspiration Index in the arid zone of Balochistan province, Pakistan. Arabian Journal of Geosciences. 2021; 14 (1):1-13.
Chicago/Turabian StyleZahid Naeem Qaisrani; Narissara Nuthammachot; Kuaanan Techato; Asadullah. 2021. "Drought monitoring based on Standardized Precipitation Index and Standardized Precipitation Evapotranspiration Index in the arid zone of Balochistan province, Pakistan." Arabian Journal of Geosciences 14, no. 1: 1-13.
The COVID-19 pandemic has triggered an industrial and financial slowdown due to unprecedented regulations imposed with the purpose to contain the spread of the virus. Consequently, the positive effect on the environment has been witnessed. One of the most prominent evidences has been the drastic air quality improvement, as a direct consequence of lower emissions from reduced industrial activity. While several studies have demonstrated the validity of this hypothesis in mega-cities worldwide, it is still an unsubstantiated fact whether the same holds true for cities with a smaller urban extent and population. In the present study we investigate the temporal development of atmospheric constituent concentrations as retrieved concurrently from the Sentinel-5P satellite and a ground meteorological station. We focus on the period before and during the COVID-19 pandemic over the city of Hat Yai, Thailand and present the effect of the lockdown on the atmospheric quality over this average populated city (156,000 inhabitants). NO2, PM2.5 and PM10 concentrations decreased by 33.7%, 21.8% and 22.9% respectively in the first 3 weeks of the lockdown compared to the respective pre-lockdown period; O3 also decreased by 12.5% and contrary to similar studies. Monthly averages of NO2, CO and PM2.5 for the month April exhibit in 2020 the lowest values in the last decade. Sentinel-5P retrieved NO2 tropospheric concentrations, both locally over the ground station and the spatial average over the urban extent of the city, are in agreement with the reduction observed from the ground station. Numerous studies have already presented evidence of the bettering of the air quality over large metropolitan areas during the COVID-19 pandemic. In the current study we demonstrate that this holds true for Hat Yai, Thailand; we propound that the environmental benefits documented in major urban agglomerations during the lockdown may extend to medium-sized urban areas as well.
Dimitris Stratoulias; Narissara Nuthammachot. Air quality development during the COVID-19 pandemic over a medium-sized urban area in Thailand. Science of The Total Environment 2020, 746, 141320 -141320.
AMA StyleDimitris Stratoulias, Narissara Nuthammachot. Air quality development during the COVID-19 pandemic over a medium-sized urban area in Thailand. Science of The Total Environment. 2020; 746 ():141320-141320.
Chicago/Turabian StyleDimitris Stratoulias; Narissara Nuthammachot. 2020. "Air quality development during the COVID-19 pandemic over a medium-sized urban area in Thailand." Science of The Total Environment 746, no. : 141320-141320.
Above-ground Biomass (AGB) represents the largest amount of biomass found on earth. Passive and active remote sensors have been a useful tool in estimating AGB for this purpose; nevertheless, both data sources suffer from saturation problems in dense vegetation. A combination of optical and radar data could potentially increase the accuracy of AGB estimation. In this study we evaluate the synergistic use of Sentinel-1 and Sentinel-2 for assessing AGB in a private forest in Yogyakarta, Indonesia. Forty five sample plots of 20 m x 20 m were used as ground truth data. AGB correlated with Sentinel-1 backscatter and Sentinel-2 derived variables with R2 = 0.34 and R2 = 0.82, respectively; nevertheless, the synergistic use of Sentinel-1 and Sentinel-2 yielded the highest accuracy (i.e., R2 = 0.84). The results indicate that AGB in Yogyakarta is most accurately estimated based on the synergy of optical and radar satellite images.
Narissara Nuthammachot; Askar Askar; Dimitris Stratoulias; Pramaditya Wicaksono. Combined use of Sentinel-1 and Sentinel-2 data for improving above-ground biomass estimation. Geocarto International 2020, 1 -11.
AMA StyleNarissara Nuthammachot, Askar Askar, Dimitris Stratoulias, Pramaditya Wicaksono. Combined use of Sentinel-1 and Sentinel-2 data for improving above-ground biomass estimation. Geocarto International. 2020; ():1-11.
Chicago/Turabian StyleNarissara Nuthammachot; Askar Askar; Dimitris Stratoulias; Pramaditya Wicaksono. 2020. "Combined use of Sentinel-1 and Sentinel-2 data for improving above-ground biomass estimation." Geocarto International , no. : 1-11.
Tropical forests have long been known for being home to a huge biodiversity of plants, animals and microbes. Nevertheless, one of the most dangerous threats to the existence of tropical forests is fire. Fire in tropical forests does not only devastate the forest structure and biodiversity, but it also releases huge amounts of CO2 to the atmosphere. This study aims to observe land cover changes in the Sungai Wain Protection Forest (SWPF) via Landsat multitemporal data from 1998 to 2016 and to calculate their resulting emissions. The findings showed that the total area affected by forest fire during this period was 6,400 ha, which amounts to 5,000 and 1,400 ha of lost forest in 1998 and 2015, respectively. The potential of CO2 emissions due to aboveground biomass (AGB) loss was 4.66 Tg during that period. This study also showed that SWPF was able to recover naturally after the 1998 fire. Fires in 2015 mostly occured in regenerating forests, implying that it is more flammable than primary forests. As an implication, the fire phenomenon is still threatening the SWPF because it has potential value to cut down succession from regenerating to primary forests.
Askar Askar; Narissara Nuthammachot; Tri Sayektiningsih; Hermudananto Hermudananto. Assessing Land Cover Changes and CO2 Emissions in Tropical Forests, 1998-2016: A Case Study of the Sungai Wain Protection Forest. Polish Journal of Environmental Studies 2019, 28, 3597 -3604.
AMA StyleAskar Askar, Narissara Nuthammachot, Tri Sayektiningsih, Hermudananto Hermudananto. Assessing Land Cover Changes and CO2 Emissions in Tropical Forests, 1998-2016: A Case Study of the Sungai Wain Protection Forest. Polish Journal of Environmental Studies. 2019; 28 (5):3597-3604.
Chicago/Turabian StyleAskar Askar; Narissara Nuthammachot; Tri Sayektiningsih; Hermudananto Hermudananto. 2019. "Assessing Land Cover Changes and CO2 Emissions in Tropical Forests, 1998-2016: A Case Study of the Sungai Wain Protection Forest." Polish Journal of Environmental Studies 28, no. 5: 3597-3604.
Forest fires are abrupt transformations of the natural ecosystem and management authorities are required to take preventive measures to tackle fire events. GIS is a powerful tool for providing information with a spatial context and AHP is a well-established technique for multiple criteria decision making. In this study, GIS and AHP are combined to analyse seven fire-related factors related to climate, topography and human influence. Fire risk for a peat swamp forested area in Kuan Kreng, Nakorn Sri Thammarat province, Thailand is estimated in 5 categories. 705 historic fire events from 2006-2017 are used to validate our approach. 82% of the historic fire incidents occurred within the highest fire risk class categories while only a few omission errors were recorded. The combined approach of GIS and AHP techniques can yield useful fire risk maps, which can consequently be used for future planning and management of fire prone areas.
Narissara Nuthammachot; Dimitris Stratoulias. A GIS- and AHP-based approach to map fire risk: a case study of Kuan Kreng peat swamp forest, Thailand. Geocarto International 2019, 36, 212 -225.
AMA StyleNarissara Nuthammachot, Dimitris Stratoulias. A GIS- and AHP-based approach to map fire risk: a case study of Kuan Kreng peat swamp forest, Thailand. Geocarto International. 2019; 36 (2):212-225.
Chicago/Turabian StyleNarissara Nuthammachot; Dimitris Stratoulias. 2019. "A GIS- and AHP-based approach to map fire risk: a case study of Kuan Kreng peat swamp forest, Thailand." Geocarto International 36, no. 2: 212-225.
Private forests have a crucial role in maintaining the functioning of the Indonesian forest ecosystem especially because of the continuous degradation of natural forests. Private forests are a part of social forestry which becomes a tool for the Indonesian government to reduce carbon dioxide (CO2) emission by 26% by 2030. The United Nations Programme on Reducing Emissions from Deforestation and Forest Degradation has encouraged the Indonesian government to establish a forest monitoring system by estimating forest carbon stock using a combination of forest inventory and remote sensing. This study is aimed at assessing the potential of vegetation indices derived from Sentinel-2 for estimating aboveground biomass (AGB) of private forests. We used 45 sample plots and 7 vegetation indices to evaluate the ability of Sentinel-2 in estimating AGB on private forests. Normalised difference index (NDI) 45 exhibited a strong correlation with AGB compared to other indices (r = 0.89; R2 = 0.79). Stepwise linear regression fitted for establishing the model between field AGB and vegetation indices (R2 = 0.81). We also found that AGB in the study area based on spatial analysis was 72.54 Mg/ha. A root mean square error (RMSE) value from predicted and observed AGB was 27 Mg/ha. The AGB value in the study area is higher than the AGB value from some of forest types, and it indicates that private forests are good for biomass storage. Overall, vegetation indices from Sentinel-2 multispectral imagery can provide a good result in terms of reporting the AGB on private forests.
Askar; Narissara Nuthammachot; Worradorn Phairuang; Pramaditya Wicaksono; Tri Sayektiningsih. Estimating Aboveground Biomass on Private Forest Using Sentinel-2 Imagery. Journal of Sensors 2018, 2018, 1 -11.
AMA StyleAskar, Narissara Nuthammachot, Worradorn Phairuang, Pramaditya Wicaksono, Tri Sayektiningsih. Estimating Aboveground Biomass on Private Forest Using Sentinel-2 Imagery. Journal of Sensors. 2018; 2018 ():1-11.
Chicago/Turabian StyleAskar; Narissara Nuthammachot; Worradorn Phairuang; Pramaditya Wicaksono; Tri Sayektiningsih. 2018. "Estimating Aboveground Biomass on Private Forest Using Sentinel-2 Imagery." Journal of Sensors 2018, no. : 1-11.