Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Rajit Gupta"'
Publikováno v:
Landscape and Ecological Engineering. 19:211-225
Autor:
Rajit Gupta, Laxmi Kant Sharma
Publikováno v:
Advances in Scalable and Intelligent Geospatial Analytics ISBN: 9781003270928
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffb9e7e1c4e20cd7136b279128d963e9
https://doi.org/10.1201/9781003270928-25
https://doi.org/10.1201/9781003270928-25
Publikováno v:
LS- International Journal of Life Sciences. 11:61-75
Autor:
Rajit Gupta, Laxmi Kant Sharma
Publikováno v:
2023 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS).
Autor:
Rajit Gupta, Laxmi Kant Sharma
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Publikováno v:
Advances in Remote Sensing for Natural Resource Monitoring
Sustainable management of natural forest resources is a vital requirement in the changing climatic conditions on Earth. Two advances techniques, hyperspectral remote sensing (HRS) and LIDAR (light detection and ranging) remote sensing (LRS), provide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2adc866fc060d9fc3ed331ccf680e34f
https://doi.org/10.4018/978-1-6684-5678-1.ch083
https://doi.org/10.4018/978-1-6684-5678-1.ch083
Autor:
Rajit Gupta, Laxmi Kant Sharma
Publikováno v:
Annals of Forest Science. 78
Teak ( Tectona grandis L. f.) is a native tree species of India. It is one of the most desirable timber species because of its strength, fine texture, and durability. Its growth is strongly dependent on the climatic conditions, but empirical data are
Autor:
Rajit Gupta, Laxmi Kant Sharma
Publikováno v:
Remote Sensing Applications: Society and Environment. 27:100817
Autor:
Rajit Gupta, Laxmi Kant Sharma
Publikováno v:
Ecological Modelling. 397:55-73
Forests are a critical resource, and need proper management in the face of dire climatic changes facing the world today. Advances in modelling system result in the formulation of numerous forest modelling approaches to provide an estimation of forest