Zobrazeno 1 - 10
of 7 797
pro vyhledávání: '"Google earth Engine"'
Publikováno v:
Environmental Systems Research, Vol 13, Iss 1, Pp 1-13 (2024)
Abstract Despite its significance, net primary productivity is rarely used as an indicator of climate change. The purpose of this study was to assess the spatiotemporal dynamics of vegetation net primary productivity and its response to climate varia
Externí odkaz:
https://doaj.org/article/649b3dce0f7f4956bbd2156445475b2d
Publikováno v:
Discover Civil Engineering, Vol 1, Iss 1, Pp 1-15 (2024)
Abstract Due to climate and human activity, water supply in Jharkhand, India, fluctuates. This study measured AWS and AWA in Jharkhand, India. MODIS NDVI and Terra Climate data processed by Google Earth Engine (GEE) are used in the analysis. Based on
Externí odkaz:
https://doaj.org/article/e79a36b02bc3494fa1661f63a8ad00b9
Publikováno v:
Scientific Journal of Astana IT University, Pp 140-149 (2024)
Floods are among the most frequent and devastating natural disasters, causing significant economic damage and loss of life worldwide. Effective flood risk management relies on accurate modeling techniques that can predict vulnerable areas and assess
Externí odkaz:
https://doaj.org/article/754270f7642241788c1d199a4ca00034
Publikováno v:
International Journal of Coal Science & Technology, Vol 11, Iss 1, Pp 1-15 (2024)
Abstract Shuozhou is a typical coal mining city, and the Pingshuo Antaibao open-pit coal mine in its area is one of the largest open-pit coal mines in China. The mining of coal resources is an important part of ensuring national energy security, and
Externí odkaz:
https://doaj.org/article/3fa3c5e440ce45de9e88550707285815
Publikováno v:
Ziyuan Kexue, Vol 46, Iss 8, Pp 1508-1522 (2024)
[Objective] Grassland is an essential component of terrestrial ecosystems, and the aboveground biomass (AGB) of grassland can directly reflect the current status of grassland resources. Accurately assessing the aboveground biomass of grassland and re
Externí odkaz:
https://doaj.org/article/c18cceffa5f04393822cea93d653c162
Publikováno v:
GeoHazards, Vol 5, Iss 3, Pp 780-798 (2024)
This paper presents a remote sensing approach for rapidly and automatically generating maps of surface disturbances caused by landslides on the global scale. Our approach not only identifies the locations of these disturbances but also pinpoints the
Externí odkaz:
https://doaj.org/article/39a6811c5ad243e39a9d71c5994987bb
Publikováno v:
Jurnal Ekonomi dan Studi Pembangunan, Vol 16, Iss 1, Pp 52-62 (2024)
This paper examines the potential of nighttime light (NTL) data as an alternative data source to predict the number of money laundering events. The study is based on the assumption that money laundering as one of financial crime categories is linked
Externí odkaz:
https://doaj.org/article/53c8794b02154da2a174b6f9c26981f1
Publikováno v:
Meitan xuebao, Vol 49, Iss 8, Pp 3522-3534 (2024)
The coal dust produced by surface coal mining has a serious impact on the atmosphere, vegetation, soil and residential environment in the coal mining area and its surrounding area, but the related research on the coverage of coal dust pollution, the
Externí odkaz:
https://doaj.org/article/80eb6dc98a4c40609c63b3e45d118920
Publikováno v:
Journal of Design for Resilience in Architecture and Planning, Vol 5, Iss 2, Pp 287-299 (2024)
This research employs remote sensing techniques to map agricultural drought in the Constantine region of Algeria during the years 2021 to 2023. Using Landsat images processed through the Google Earth Engine platform, three indices (NDVI, VHI, and SPI
Externí odkaz:
https://doaj.org/article/39f368a6beba4964bbeeaaca747a75ed
Publikováno v:
Environmental Systems Research, Vol 13, Iss 1, Pp 1-16 (2024)
Abstract A precise and up-to-date Land Use and Land Cover (LULC) valuation serves as the fundamental basis for efficient land management. Google Earth Engine (GEE), with its numerous machine learning algorithms, is now the most advanced open-source g
Externí odkaz:
https://doaj.org/article/1dd3b9b1c72847b1acbb5db5ed169b70