Zobrazeno 1 - 10
of 7 681
pro vyhledávání: '"earth engine"'
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
Publikováno v:
Applied Water Science, Vol 14, Iss 9, Pp 1-25 (2024)
Abstract Dam breach floods pose significant threats to downstream areas, necessitating accurate prediction of inundation scenarios to mitigate potential damage. This paper presents a novel methodology for hydrodynamic modeling of dam breach floods, l
Externí odkaz:
https://doaj.org/article/95e498dc5a1345feb0db72de8251ff5c
Autor:
Shaojie Bai, Abudukeyimu Abulizi, Yusuyunjiang Mamitimin, Junxia Wang, Le Yuan, Xiaofen Zhang, Tingting Yu, Adila Akbar, Fang Shen
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract The non-coordination between the socio-economic systems and ecosystems of a region is a crucial obstacle to sustainable development. To reveal the relationships between complex urban systems and achieve the goal of sustainable and coordinate
Externí odkaz:
https://doaj.org/article/d99e357eeb9148d4a2914fc6b3141f8b
Autor:
Victor Manuel Gordillo-Salinas, Juan Arista-Cortes, Nora Meraz-Maldonado, Waldo Ojeda-Bustamante, Raúl Enrique Valle-Gough, Sergio Iván Jiménez-Jiménez
Publikováno v:
Revista de Teledetección, Iss 64, Pp 1-14 (2024)
Determination of actual crop evapotranspiration (ETc) is a crucial challenge for sustainable irrigation water management. In this sense, robust and accurate estimation models of crop water consumption along with spatial tools and processing platforms
Externí odkaz:
https://doaj.org/article/d772eedd7790432e9522c57ec1b38a90
Autor:
Julian Alberto Sabattini, Rafael Alberto Sabattini, Norberto Muzzachiodi, Irina Treisse, Rodrigo Penco
Publikováno v:
Revista de Teledetección, Iss 64, Pp 49-60 (2024)
Entre Ríos presenta un paisaje particular con numerosos ambientes contrastantes. Cartografiar tanto los naturales y como los antrópicos es una tarea frecuente gracias a la utilización de tecnologías de percepción remota junto con los sistemas de
Externí odkaz:
https://doaj.org/article/06d69334d42f4296a976af4392686dfb
Publikováno v:
Вісник Харківського національного університету імені В.Н. Каразіна. Серія Геологія. Географія. Екологія, Iss 60, Pp 272-283 (2024)
The aim of the article. This article highlights the significance of forest cover as an important indicator of the state of the environment. It discusses the findings of the Food and Agriculture Organization of the United Nations (FAO) Forest Resource
Externí odkaz:
https://doaj.org/article/28e7cd4676074fdfac8cc3cbef487f57
Autor:
Emerson Ferreira Vilela, Gabriel Dumbá Monteiro de Castro, Diego Bedin Marin, Charles Cardoso Santana, Daniel Henrique Leite, Christiano de Sousa Machado Matos, Cileimar Aparecida da Silva, Iza Paula de Carvalho Lopes, Daniel Marçal de Queiroz, Rogério Antonio Silva, Giuseppe Rossi, Gianluca Bambi, Leonardo Conti, Madelaine Venzon
Publikováno v:
AgriEngineering, Vol 6, Iss 2, Pp 1697-1711 (2024)
The coffee leaf miner (Leucoptera coffeella) is a key pest in coffee-producing regions in Brazil. The objective of this work was to evaluate the potential of machine learning algorithms to identify coffee leaf miner infestation by considering the ass
Externí odkaz:
https://doaj.org/article/6f16e76da5de4cd2a24dd21e66c0c1a9
Autor:
Andrei Kartoziia
Publikováno v:
Earth, Vol 5, Iss 2, Pp 228-243 (2024)
The mapping of thermokarst landscapes and the assessment of their conditions are becoming increasingly important in light of a rising global temperature. Land cover maps provide a basis for quantifying changes in landscapes and identifying areas that
Externí odkaz:
https://doaj.org/article/9645108e302244d58e8680fb17ea8abb