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Forecasting land use changes in crop classification and drought using remote sensing

Mashael MAASHI Nada ALZABEN Noha NEGM Venkatesan VEERAMANI Sabarunisha Sheik BEGUM Geetha PALANIAPPAN

干旱区科学2025，Vol.17Issue(5)：575-589,15.

干旱区科学2025，Vol.17Issue(5)：575-589,15.DOI:10.1007/s40333-025-0013-y

Forecasting land use changes in crop classification and drought using remote sensing

Mashael MAASHI ¹Nada ALZABEN ²Noha NEGM ³Venkatesan VEERAMANI ⁴Sabarunisha Sheik BEGUM ⁵Geetha PALANIAPPAN⁶

作者信息

1. Department of Software Engineering,College of Computer and Information Sciences,King Saud University,Riyadh 11451,Saudi Arabia
2. Department of Computer Sciences,College of Computer and Information Sciences,Princess Nourah bint Abdulrahman University,Riyadh 11671,Saudi Arabia
3. Department of Computer Science,Applied College at Mahayil,King Khalid University,Abha 61421,Saudi Arabia
4. Department of Civil Engineering,University College of Engineering,Anna University,Ariyalur 621731,India
5. Department of Biotechnology,P.S.R.Engineering College,Sivakasi 626140,India
6. Department of Electronics and Communication Engineering,School of Engineering and Technology,Dhanalakshmi Srinivasan University,Samayapuram 621112,India
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摘要

关键词

land use and land cover(LULC)/crop attributes/drought vulnerability/machine learning models/remote sensing

Key words

land use and land cover(LULC)/crop attributes/drought vulnerability/machine learning models/remote sensing

引用本文复制引用

Mashael MAASHI,Nada ALZABEN,Noha NEGM,Venkatesan VEERAMANI,Sabarunisha Sheik BEGUM,Geetha PALANIAPPAN..Forecasting land use changes in crop classification and drought using remote sensing[J].干旱区科学,2025,17(5):575-589,15.

基金项目

This research was supported by the Deanship of Research and Graduate Studies at the King Khalid University(RGP2/287/46),the Princess Nourah bint Abdulrahman University Researchers Supporting Project(PNURSP2025R733),the Princess Nourah bint Abdulrahman University Research Supporting Project(RSPD2025R787),and the King Saud University,Saudi Arabia. （RGP2/287/46）

干旱区科学

ISSN：1674-6767

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