Zobrazeno 1 - 10
of 3 454
pro vyhledávání: '"geoprocessing"'
Publikováno v:
Geography, Environment, Sustainability, Vol 17, Iss 3, Pp 85-97 (2024)
The lack of planning and feasibility of controlling actions over land use and land cover lead to relationship problems between the support capacity that environmental systems present and their current use. The goal of this study is to figure out how
Externí odkaz:
https://doaj.org/article/3f484c8c4df946c9816cb29663b59c13
Autor:
Kostrzewa Adam
Publikováno v:
Reports on Geodesy and Geoinformatics, Vol 118, Iss 1, Pp 1-16 (2024)
Poland as well as other countries keep extensive collections of 20th and 21st-century aerial photos, which are underexploited compared to such other archival materials as satellite imagery. Meanwhile, they offer significant research potential in vari
Externí odkaz:
https://doaj.org/article/10f9bc003ebb4e458d7e692d7aa08317
Publikováno v:
Geography, Environment, Sustainability, Vol 17, Iss 2, Pp 131-138 (2024)
Soil mapping of urban areas is required for solving many applied problems. However, its methodology is still under development. The lack of information about urban soils and the inconsistence of their classifications are the main difficulties, as wel
Externí odkaz:
https://doaj.org/article/20a94fa0c65e41f6bf4df017e970a902
Autor:
Ferreira, Jordan
Publikováno v:
International Journal of Building Pathology and Adaptation, 2022, Vol. 42, Issue 2, pp. 257-277.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJBPA-11-2021-0144
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
Predicting computational intensity (CI) is essential for domain decomposition and load balance in parallel geoprocessing. However, traditional CI prediction is limited in capturing the heterogeneity of spatial domain, leading to poor accuracy and loa
Externí odkaz:
https://doaj.org/article/9dcfa851ccea4e2f97951b8443211261
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTThis study compares the performance of ensemble machine learning methods stacking, blending, and soft voting for Landslide susceptibility mapping (LSM) in a highly affected Northern Italy region, Lombardy. We first created a spatial database
Externí odkaz:
https://doaj.org/article/e9d426c6b65842d8a35681468814f28b
Publikováno v:
Earth, Vol 5, Iss 1, Pp 72-89 (2024)
Utilization of remote sensing-derived meteorological data is a valuable alternative for tropical insular territories such as Puerto Rico (PR). The study of ecosystem resilience in insular territories is an underdeveloped area of investigation. Little
Externí odkaz:
https://doaj.org/article/87bbb943cf814276916f7e800238e3db
Autor:
Guilherme Gonçalves Coswosk, Vivane Mirian Lanhellas Gonçalves, Valter Jário de Lima, Guilherme Augusto Rodrigues de Souza, Antônio Teixeira do Amaral Junior, Messias Gonzaga Pereira, Evandro Chaves de Oliveira, Jhean Torres Leite, Samuel Henrique Kamphorst, Uéliton Alves de Oliveira, Jocarla Ambrosim Crevelari, Késia Dias dos Santos, Frederico César Ribeiro Marques, Eliemar Campostrini
Publikováno v:
Remote Sensing, Vol 16, Iss 16, p 3015 (2024)
Recent advancements in high-throughput phenotyping have led to the use of drones with RGB sensors for evaluating plant traits. This study explored the relationships between vegetation indices (VIs) with grain yield and morphoagronomic and physiologic
Externí odkaz:
https://doaj.org/article/26bc7fafb7054c85a91014c9c415da4d
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 13, Iss 6, p 187 (2024)
Land cover and its changes over time are significant for better understanding the Earth’s fundamental characteristics and processes, such as global climate change, hydrology, and the carbon cycle. A number of land cover-geoprocessing models have be
Externí odkaz:
https://doaj.org/article/dc481d3b879546df8c5e1641c6601e2a