scholarly journals Temporal Variation and Trend Prediction of Carbon Storage in Subtropical Evergreen Broad-leaved Forest in Jiangxi Province Based on Remote Sensing Images

2020 ◽  
Vol 546 ◽  
pp. 032048
Author(s):  
Zhang Qiugen ◽  
Ding Ruan ◽  
Li Jian
Keyword(s):  
Remote Sensing ◽  
Temporal Variation ◽  
Carbon Storage ◽  
Jiangxi Province ◽  
Remote Sensing Images ◽  
Trend Prediction ◽  
Broad Leaved Forest ◽  
Leaved Forest

Spatial patterns of dominant species in a subtropical evergreen broad-leaved forest in Jiulian Mountain Jiangxi Province, China

2012 ◽  
Vol 32 (9) ◽  
pp. 2729-2737
Author(s):  
范娟 FAN Juan ◽  
赵秀海 ZHAO Xiuhai ◽  
汪金松 WANG Jinsong ◽  
张春雨 ZHANG Chunyu ◽  
何俊 HE Jun ◽  
...  
Keyword(s):  
Spatial Patterns ◽  
Dominant Species ◽  
Jiangxi Province ◽  
Broad Leaved Forest ◽  
Leaved Forest

scholarly journals Potential impact of flooding on schistosomiasis in Poyang Lake regions based on multi-source remote sensing images

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Jing-Bo Xue ◽  
Xin-Yi Wang ◽  
Li-Juan Zhang ◽  
Yu-Wan Hao ◽  
Zhe Chen ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Water Body ◽  
Vegetation Index ◽  
Predictive Accuracy ◽  
Poyang Lake ◽  
Transmission Risk ◽  
Jiangxi Province ◽  
Landsat 8 ◽  
Remote Sensing Images ◽  
Dual Polarized

Abstract Background Flooding is considered to be one of the most important factors contributing to the rebound of Oncomelania hupensis, a small tropical freshwater snail and the only intermediate host of Schistosoma japonicum, in endemic foci. The aim of this study was to assess the risk of intestinal schistosomiasis transmission impacted by flooding in the region around Poyang Lake using multi-source remote sensing images. Methods Normalized Difference Vegetation Index (NDVI) data collected by the Landsat 8 satellite were used as an ecological and geographical suitability indicator of O. hupensis habitats in the Poyang Lake region. The expansion of the water body due to flooding was estimated using dual-polarized threshold calculations based on dual-polarized synthetic aperture radar (SAR). The image data were captured from the Sentinel-1B satellite in May 2020 before the flood and in July 2020 during the flood. A spatial database of the distribution of snail habitats was created using the 2016 snail survey in Jiangxi Province. The potential spread of O. hupensis snails after the flood was predicted by an overlay analysis of the NDVI maps in the flood-affected areas around Poyang Lake. The risk of schistosomiasis transmission was classified based on O. hupensis snail density data and the related NDVI. Results The surface area of Poyang Lake was approximately 2207 km2 in May 2020 before the flood and 4403 km2 in July 2020 during the period of peak flooding; this was estimated to be a 99.5% expansion of the water body due to flooding. After the flood, potential snail habitats were predicted to be concentrated in areas neighboring existing habitats in the marshlands of Poyang Lake. The areas with high risk of schistosomiasis transmission were predicted to be mainly distributed in Yongxiu, Xinjian, Yugan and Poyang (District) along the shores of Poyang Lake. By comparing the predictive results and actual snail distribution, we estimated the predictive accuracy of the model to be 87%, which meant the 87% of actual snail distribution was correctly identified as snail habitats in the model predictions. Conclusions Data on water body expansion due to flooding and environmental factors pertaining to snail breeding may be rapidly extracted from Landsat 8 and Sentinel-1B remote sensing images. Applying multi-source remote sensing data for the timely and effective assessment of potential schistosomiasis transmission risk caused by snail spread during flooding is feasible and will be of great significance for more precision control of schistosomiasis.

scholarly journals Carbon storage and potentials of the broad-leaved forest in alpine region of the Qinghai- Xizang Plateau, China

2016 ◽  
Vol 40 (4) ◽  
pp. 374-384 ◽  
Author(s):  
WANG Jian ◽  
◽  
WANG Gen-Xu ◽  
WANG Chang-Ting ◽  
RAN Fei ◽  
...  
Keyword(s):  
Carbon Storage ◽  
Alpine Region ◽  
Broad Leaved Forest ◽  
Xizang Plateau ◽  
Leaved Forest

scholarly journals Water Discharge Property of Evergreen Broad-leaved Forest River Basin-Jiulianshan, Jiangxi Province, China.

1998 ◽  
Vol 11 (3) ◽  
pp. 240-252 ◽  
Author(s):  
Hiroki TANAKA ◽  
Yoshihiro FUKUSHIMA ◽  
Changhua LI ◽  
Jumpei KUBOTA ◽  
Takeshi OHTA ◽  
...  
Keyword(s):  
River Basin ◽  
Water Discharge ◽  
Jiangxi Province ◽  
Broad Leaved Forest ◽  
Leaved Forest

OPTIMAL OPERATION POINT IN 3D DCT- BASED LOSSY COMPRESSION OF COLOR AND MULTICHANNEL REMOTE SENSING IMAGES

2015 ◽  
Vol 74 (20) ◽  
pp. 1803-1821 ◽  
Author(s):  
V. V. Lukin ◽  
S. K. Abramov ◽  
R.A. Kozhemiakin ◽  
Benoit Vozel ◽  
B. Djurovic ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Lossy Compression ◽  
Optimal Operation ◽  
Remote Sensing Images
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