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Home > Computers in Earth and Environmental Sciences > Mapping the NDVI and monitoring of its changes using Google Earth Engine and Sentinel-2 images
Computers in Earth and Environmental Sciences |
Hamid Pourghasemi
Elsevier
Computers in Earth and Environmental Sciences
Mapping the NDVI and monitoring of its changes using Google Earth Engine and Sentinel-2 images
Authors

Mahdis Amiri; Hamid Reza Pourghasemi

ARI Id

1665412912691_16708752

Access

Not Available Free

Table of Contents of Book
Showing 1 to 20 of 47 entries
Chapters/HeadingsAuthor(s)PagesInfo
Predicting dissolved oxygen concentration in river using new advanced machines learning: Long-short term memory (LSTM) deep learning
Salim Heddam; Sungwon Kim; Ali Danandeh Mehr; Mohammad Zounemat-Kermani; Anurag Malik; Ahmed Elbeltagi; Ozgur Kisi
Fractal analysis of valley sections in geological formations of arid areas
Mojdeh Mohammadi Khoshoui; Mohammad Reza Ekhtesasi
A data-driven approach for estimating contaminants in natural water
Saha Dauji; Tirumalesh Keesari
Application of analytical hierarchy process (AHP) in landslide susceptibility mapping for Qazvin province, N Iran
Ebrahim Sharifi Teshnizi; Mohsen Golian; Shahriar Sadeghi; Ahmad Rastegarnia
Assessment of machine learning algorithms in land use classification
Hassan Khavarian Nehzak; Maryam Aghaei; Raoof Mostafazadeh; Hamidreza Rabiei-Dastjerdi
Evaluation of land use change predictions using CA-Markov model and management scenarios
Hassan Khavarian Nehzak; Maryam Aghaei; Raoof Mostafazadeh; Hamidreza Rabiei-Dastjerdi
Topographical features and soil erosion processes
Mahboobeh Kiani-Harchegani; Ali Talebi; Ebrahim Asgari; Jesús Rodrigo-Comino
Mapping the NDVI and monitoring of its changes using Google Earth Engine and Sentinel-2 images
Mahdis Amiri; Hamid Reza Pourghasemi
Spatiotemporal urban sprawl and land resource assessment using Google Earth Engine platform in Lahore district, Pakistan
Adeel Ahmad; Hammad Gilani; Safdar Ali Shirazi; Hamid Reza Pourghasemi; Ifrah Shaukat
Using OWA-AHP method to predict landslide-prone areas
Marzieh Mokarram; Hamid Reza Pourghasemi
Multiscale drought hazard assessment in the Philippines
Arnold R. Salvacion
Selection of the best pixel-based algorithm for land cover mapping in Zagros forests of Iran using Sentinel-2A data: A case study in Khuzestan province
Saeedeh Eskandari; Sajjad Ali Mahmoudi Sarab; Mehdi Pourhashemi; Fatemeh Ahmadloo
Identify the important driving forces on gully erosion, Chaharmahal and Bakhtiari province, Iran
Mohammad Nekooeimehr; Saleh Yousefi; Sayed Naeim Emami
Spatial and seasonal modeling of the land surface temperature using random forest
Soheila Pouyan; Soroor Rahmanian; Atiyeh Amindin; Hamid Reza Pourghasemi
Municipal landfill site selection and environmental impacts assessment using spatial multicriteria decision analysis: A case study
Hazhir Karimi; Hooshyar Hossini; Abdulfattah Ahmad Amin
Ecoengineering practices for soil degradation protection of vulnerable hill slopes
R. Gobinath; G.P. Ganapathy; E. Gayathiri; Ashwini Arun Salunkhe; Hamid Reza Pourghasemi
Soft computing applications in rainfall-induced landslide analysis and protection—Recent trends, techniques, and opportunities
Ashwini Arun Salunkhe; R. Gobinath; Sandhya Makkar
Remote sensing and machine learning techniques to monitor fluvial corridor evolution: The Aras River between Iran and Azerbaijan
Khosro Fazelpoor; Vanesa Martínez-Fernández; Saleh Yousefi; Diego García de Jalón
Studies on plant selection framework for soil bioengineering application
E. Gayathiri; R. Gobinath; G.P. Ganapathy; Ashwini Arun Salunkhe; J. Jayanthi; M.G. Ragunathan; Hamid Reza Pourghasemi
IoT applications in landslide prediction and abatement—Trends, opportunities, and challenges
U. Sinthuja; S. Thavamani; Sandhya Makkar; R. Gobinath; E. Gayathiri
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 47 entries
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