Impact of land use/land cover changes on evapotranspiration and model accuracy using Google Earth engine and classification and regression tree modeling-Reference-Cited by-同舟云学术

Impact of land use/land cover changes on evapotranspiration and model accuracy using Google Earth engine and classification and regression tree modeling

Published:2023-12-22 Issue:1 Volume:15 Page:
ISSN:1947-5705
Container-title:Geomatics, Natural Hazards and Risk
language:en
Short-container-title:Geomatics, Natural Hazards and Risk

Author:

Pande Chaitanya B.¹²³⁴,Diwate Pranaya⁵,Orimoloye Israel R.⁶,Sidek Lariyah Mohd²,Pratap Mishra Arun⁴⁷,Moharir Kanak N.⁸,Pal Subodh Chandra⁹,Alshehri Fahad⁴,Tolche Abebe Debele¹⁰

Affiliation:

1. Indian Institute of Tropical Meteorology, Pune, India

2. Institute of Energy Infrastructure, Universiti Tenaga Nasional, Kajang, Malaysia

3. New Era and Development in Civil Engineering Research Group, Scientific Research Center, Al-Ayen University, Nasiriyah, Iraq

4. Abdullah Alrushaid Chair for Earth Science Remote Sensing Research, Geology and Geophysics Department, King Saud University, Riyadh, Saudi Arabia

5. University Department of Basic and Applied Sciences, MGM University, Aurangabad, India

6. School of Environment, Geography, and Sustainability, Western Michigan University, Kalamazoo, MI, USA

7. Department of Habitat Ecology, Wildlife Institute of India, Dehradun, Uttarakhand, India

8. Department of Remote Sensing, Banasthali University, Jaipur, India

9. Department of Geography, The University of Burdwan, Purba Bardhaman, West Bengal, India

10. School of Water Resources and Environmental Engineering, Haramaya Institute of Technology, Haramaya University, Dire Dawa, Ethiopia

Funder

Tenaga Nasional Berhad (TNB) and UNITEN 664

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/19475705.2023.2290350

Reference92 articles.

1. Allen RG, Pereira LS, Raes D, Smith M. 1998. Crop evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56. Vol. 300. Rome: FAO; p. D05109.

2. Allen RG Tasumi M Morse A. 2007. Evapotranspiration from satellite remote sensing. Proc Natl Acad Sci. 104(39):16947–16952.

3. Anderson MC Norman JM Diak GR Kustas WP Mecikalski JR. 1997. A two-source time-integrated model for estimating surface fluxes using thermal infrared remote sensing. Remote Sens Environ. 60(2):195–216

4. Earthquake damage mapping: An overall assessment of ground surveys and VHR image change detection after L'Aquila 2009 earthquake

5. Impact of land use land cover (LULC) change on surface runoff in an increasingly urbanized tropical watershed;Astuti IS;Water Resour Manag,2019

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Investigation of the Basin Characteristics through Morphometric Analysis of Hadejia River Sub-Basin: Implications for Groundwater Recharge;African Journal of Environment and Natural Science Research;2024-07-16

2. Characterizing seasonal, environmental and human-induced factors influencing the dynamics of Rispana River's water quality: Implications for sustainable river management;Results in Engineering;2024-06

3. Characterizing land use/land cover change dynamics by an enhanced random forest machine learning model: a Google Earth Engine implementation;Environmental Sciences Europe;2024-04-24

4. Assessment of current and future trends in water resources in the Gambia River Basin in a context of climate change;Environmental Sciences Europe;2024-02-18

5. Recovery of Velykyi Luh through ecological restoration of the Kakhovka Reservoir;Ukrainian Journal of Forest and Wood Science;2024-01-28