Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Nigenare Amantai"'
Publikováno v:
GIScience & Remote Sensing, Vol 61, Iss 1 (2024)
ABSTRACTSatellite datasets have revealed significant greening and soil drying in arid Central Asia. However, the influence mechanism of vegetation and climate on soil moisture dynamics is still unclear. In this study, we investigated the spatiotempor
Externí odkaz:
https://doaj.org/article/648b21897ae44d4bba97ec84675e49b6
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Amidst the backdrop of global climate change, it is imperative to comprehend the intricate connections among surface water, vegetation, and climatic shifts within watersheds, especially in fragile, arid ecosystems. However, these relationships across
Externí odkaz:
https://doaj.org/article/4dfbe0b4bb4c473bb0e2196c205bf7bf
Publikováno v:
Remote Sensing, Vol 16, Iss 6, p 1025 (2024)
There was an error in the original publication [...]
Externí odkaz:
https://doaj.org/article/ac08da8e94624081b68c130e49391bdf
Publikováno v:
Remote Sensing, Vol 15, Iss 13, p 3380 (2023)
Investigating how the productivity dynamics of planted forests vary over time is important for understanding the resilience of forests against disturbance and for maximizing ecological restoration and replanting efforts. In this study, the patterns o
Externí odkaz:
https://doaj.org/article/de617329c9a24096bfac87a92ea6c29a
Autor:
Nigenare Amantai, Jianli Ding
Publikováno v:
Remote Sensing, Vol 13, Iss 23, p 4867 (2021)
LST (Land surface temperature) is an important indicator for monitoring dynamic changes in the earth’s resources and environment. However, the complexity of obtaining long-term, continuous LST data hinders the development of research on LST respons
Externí odkaz:
https://doaj.org/article/8d75f9cb1d9040d28ff71f49be2fe0a6
Publikováno v:
Remote Sensing; Volume 15; Issue 13; Pages: 3380
Investigating how the productivity dynamics of planted forests vary over time is important for understanding the resilience of forests against disturbance and for maximizing ecological restoration and replanting efforts. In this study, the patterns o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::98daad1fd6df224ea013dc7f5d8c65b8