Dehua Mao

Dr. Dehua Mao

Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, No. 4888, Shengbei Street, 130102, Changchun, China
orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2020 in ISPRS Journal of Photogrammetry and Remote Sensing
Verified
Journal Article
Closed access
Dehua MaoDehua Mao
Dehua Mao
ZWZongming Wang
Zongming Wang
BDBaojia Du
Baojia Du
LLLin Li
Lin Li
YTYanlin Tian
Yanlin Tian
YWYeqiao Wang
Yeqiao Wang

23 March 2018 in Land Degradation & Development
Verified
Journal Article
Closed access
PDF file
Dehua MaoDehua Mao
Dehua Mao
Zongming WangZongming Wang
Zongming Wang
JWJianguo Wu
Jianguo Wu
Bingfang WuBingfang Wu
Bingfang Wu
YZYuan Zeng
Yuan Zeng
LLLing Luo
Ling Luo

1 September 2018 in Science of The Total Environment
Verified
Journal Article
Closed access
Dehua MaoDehua Mao
Dehua Mao
LLLing Luo
Ling Luo
Zongming WangZongming Wang
Zongming Wang
MWMaxwell C. Wilson
Maxwell C. Wilson
YZYuan Zeng
Yuan Zeng
JWJianguo Wu
Jianguo Wu

1 December 2018 in Remote Sensing
Verified
Journal Article
Open access
PDF file
MLMingyue Liu
Mingyue Liu
Dehua MaoDehua Mao
Dehua Mao
Zongming WangZongming Wang
Zongming Wang
Lin LiLin Li
Lin Li
Weidong ManWeidong Man
Weidong Man
Yuanzhi ZhangYuanzhi Zhang
Yuanzhi Zhang
Plant invasion imposes significant threats to biodiversity and ecosystem function. Thus, monitoring the spatial pattern of invasive plants is vital for effective ecosystem management. Spartina alterniflora (S. alterniflora) has been one of the most prevalent invasive plants along the China coast, and its spread has had severe ecological consequences. Here, we provide new observation from Landsat operational land imager (OLI) images. Specifically, 43 Landsat-8 OLI images from 2014 to 2016, a combination of object-based image analysis (OBIA) and support vector machine (SVM) methods, and field surveys covering the whole coast were used to construct an up-to-date dataset for 2015 and investigate the spatial variability of S. alterniflora in the coastal zone of mainland China. The classification results achieved good estimation, with a kappa coefficient of 0.86 and 96% overall accuracy. Our results revealed that there was approximately 545.80 km2 of S. alterniflora distributed in the coastal zone of mainland China in 2015, from Hebei to Guangxi provinces. Nearly 92% of the total area of S. alterniflora was distributed within four provinces: Jiangsu, Shanghai, Zhejiang, and Fujian. Seven national nature reserves invaded by S. alterniflora encompassed approximately one-third (174.35 km2) of the total area of S. alterniflora over mainland China. The Yancheng National Nature Reserve exhibited the largest area of S. alterniflora (115.62 km2) among the reserves. Given the rapid and extensive expansion of S. alterniflora in the 40 years since its introduction and its various ecological effects, geospatially varied responding decisions are needed to promote sustainable coastal ecosystems.

1 December 2018 in International Journal of Applied Earth Observation and Geoinformation
Verified
Journal Article
Closed access
MJMingming Jia
Mingming Jia
ZWZongming Wang
Zongming Wang
YZYuanzhi Zhang
Yuanzhi Zhang
Dehua MaoDehua Mao
Dehua Mao
CWChao Wang
Chao Wang

25 May 2022 in ISPRS Journal of Photogrammetry and Remote Sensing
Verified
Journal Article
Closed access
Gang YangGang Yang
Gang Yang
KHKe Huang
Ke Huang
WSWeiwei Sun
Weiwei Sun
XMXiangchao Meng
Xiangchao Meng
Dehua MaoDehua Mao
Dehua Mao
YGYong Ge
Yong Ge