Monitoring and predicting the influences of land use/land cover change on cropland characteristics and drought severity using remote sensing techniques

Author:

Taiwo Balogun Emmanuel,Kafy Abdulla - AlORCID,Samuel Ajeyomi Adedoyin,Rahaman Zullyadini A.ORCID,Ayowole Ologun Emmanuel,Shahrier Mahir,Duti Bushra Monowar,Rahman Muhammad Tauhidur,Peter Olarewaju Timilehin,Abosede Olamiju Olayinka

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Agricultural and Biological Sciences (miscellaneous),Environmental Science (miscellaneous),Ecology, Evolution, Behavior and Systematics

Reference61 articles.

1. Comparison of random forest and support vector machine classifiers for regional land cover mapping using coarse resolution FY-3C images;Adugna;Rem. Sens.,2022

2. Modeling the relationship between land use/land cover and land surface temperature in Dhaka, Bangladesh using CA-ANN algorithm;Al Kafy;Environ. Challeng.,2021

3. Assessment and prediction of index based agricultural drought vulnerability using machine learning algorithms;Al Kafy;Sci. Total Environ.,2023

4. Assessment and prediction of index based agricultural drought vulnerability using machine learning algorithms;Al Kafy;Sci. Total Environ.,2023

5. Modelling the impacts of land use/land cover changing pattern on urban thermal characteristics in Kuwait;AlDousari;Sustain. Cities Soc.,2022

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