Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Yuanhe Yu"'
Publikováno v:
Remote Sensing, Vol 16, Iss 2, p 411 (2024)
The Yangtze River Basin (YZRB) and the Yellow River Basin (YRB), which are crucial for ecology and economy in China, face growing challenges to ecosystem service (ES) functions due to global population growth, urbanization, and climate change. This s
Externí odkaz:
https://doaj.org/article/12b5fbb62b8d4b01ac44e231206f2d19
Publikováno v:
PeerJ, Vol 10, p e12804 (2022)
Water yield is an ecosystem service that is vital to not only human life, but also sustainable development of the social economy and ecosystem. This study used annual average precipitation, potential evapotranspiration, plant available water content,
Externí odkaz:
https://doaj.org/article/392b9b0ec1b54a2484afea01e7e43cd1
Knowledge mapping and trends in research on remote sensing change detection using CiteSpace analysis
Publikováno v:
Earth Science Informatics. 16:787-801
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a94552bac2a37f10012b7861083f8a7
https://doi.org/10.1007/s12145-022-00914-4
https://doi.org/10.1007/s12145-022-00914-4
Publikováno v:
Advances in Space Research. 68:4556-4572
Central Yunnan Province is the political, economic, cultural, and transportation hub of Yunnan Province, China. Climate change has resulted in increased seasonality of global averaged precipitation, temperature, runoff, and evapotranspiration, thereb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9afbeffee44121ad766b072c7b8dd17
https://doi.org/10.1016/j.asr.2021.08.028
https://doi.org/10.1016/j.asr.2021.08.028
Publikováno v:
International Journal of Environmental Research and Public Health; Volume 19; Issue 21; Pages: 13938
Using typical counties in the Yimeng Mountain area of northern China as an example, this paper analyzed the household and agricultural input characteristics of different types of peasant households using survey data from 262 farm households. The targ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7df853f8dd691fbf738c15b17363069b
Publikováno v:
Environmental Science and Pollution Research. 28:47066-47082
Yunnan Province in southwest China is characterized by a vast area, diverse climate types, rich ecosystem types, and unique biodiversity resources. With consideration of global climate change, there is an urgent need to evaluate the response of veget
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d60665d4ee717d7c7a95690e2b5bbdf
https://doi.org/10.1007/s11356-021-13835-4
https://doi.org/10.1007/s11356-021-13835-4
Publikováno v:
Natural Hazards. 104:2369-2387
Yunnan Province is a region with frequent droughts; thus, drought monitoring research is important for implementing active and effective measures to mitigate drought and scientifically guide agricultural production. In this study, the Tropical Rainfa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ac88fd7dd9f2faa4eaf1a680f7f09a1
https://doi.org/10.1007/s11069-020-04276-2
https://doi.org/10.1007/s11069-020-04276-2
Publikováno v:
Environmental Science and Pollution Research. 28:47083-47085
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f10345bc863107204b4954050dc1dfa
https://doi.org/10.1007/s11356-021-14804-7
https://doi.org/10.1007/s11356-021-14804-7
Publikováno v:
Infrared Physics & Technology. 127:104415
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::736d8acfece0a7f3c0adb92ded4a3af3
https://doi.org/10.1016/j.infrared.2022.104415
https://doi.org/10.1016/j.infrared.2022.104415
Publikováno v:
Journal of the Indian Society of Remote Sensing. 47:967-976
Leaf Area Index (LAI) is an important index that reflects the growth status of forest vegetation and land surface processes. It is of important practical significance to quantitatively and accurately estimate Leaf Area Index. We used the Landsat-8 op
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69fb48fc6186635c5d2da3b869a346d4
https://doi.org/10.1007/s12524-019-00950-6
https://doi.org/10.1007/s12524-019-00950-6