[HTML][HTML] Google Earth Engine and artificial intelligence (AI): a comprehensive review

L Yang, J Driscol, S Sarigai, Q Wu, H Chen, CD Lippitt - Remote Sensing, 2022 - mdpi.com
Remote sensing (RS) plays an important role gathering data in many critical domains (eg,
global climate change, risk assessment and vulnerability reduction of natural hazards …

[HTML][HTML] Classification of Zambian grasslands using random forest feature importance selection during the optimal phenological period

Y Zhao, W Zhu, P Wei, P Fang, X Zhang, N Yan… - Ecological …, 2022 - Elsevier
It is important to conduct grassland resource surveys for the scientific management of
grassland resources. Currently, remote sensing technology is widely used to classify land …

Soil erosion assessment in the Blue Nile Basin driven by a novel RUSLE-GEE framework

A Elnashar, H Zeng, B Wu, AA Fenta, M Nabil… - Science of the Total …, 2021 - Elsevier
Assessment of soil loss and understanding its major drivers are essential to implement
targeted management interventions. We have proposed and developed a Revised Universal …

[HTML][HTML] Testing accuracy of land cover classification algorithms in the qilian mountains based on gee cloud platform

Y Yang, D Yang, X Wang, Z Zhang, Z Nawaz - Remote Sensing, 2021 - mdpi.com
The Qilian Mountains (QLM) are an important ecological barrier in western China. High-
precision land cover data products are the basic data for accurately detecting and evaluating …

[HTML][HTML] Performance and the optimal integration of Sentinel-1/2 time-series features for crop classification in Northern Mongolia

B Tuvdendorj, H Zeng, B Wu, A Elnashar, M Zhang… - Remote Sensing, 2022 - mdpi.com
Accurate and early crop-type maps are essential for agricultural policy development and
food production assessment at regional and national levels. This study aims to produce a …

[HTML][HTML] An interannual transfer learning approach for crop classification in the Hetao Irrigation district, China

Y Hu, H Zeng, F Tian, M Zhang, B Wu, S Gilliams, S Li… - Remote Sensing, 2022 - mdpi.com
Crop type classification is critical for crop production estimation and optimal water allocation.
Crop type data are challenging to generate if crop reference data are lacking, especially for …

[HTML][HTML] Multi-temporal land cover change mapping using google earth engine and ensemble learning methods

N Wagle, TD Acharya, V Kolluru, H Huang, DH Lee - Applied Sciences, 2020 - mdpi.com
The study deals with the application of Google Earth Engine (GEE), Landsat data and
ensemble-learning methods (ELMs) to map land cover (LC) change over a decade in the …

[HTML][HTML] Fine-scale characterization of irrigated and rainfed croplands at national scale using multi-source data, random forest, and deep learning algorithms

KS Mpakairi, T Dube, M Sibanda, O Mutanga - ISPRS Journal of …, 2023 - Elsevier
Abstract Knowledge of the extent and distribution of irrigated and rainfed croplands is critical
in providing the necessary baseline data for enhancing agricultural efficiency and making …

[HTML][HTML] Impact of conservation agriculture on soil erosion in the annual cropland of the Apulia Region (Southern Italy) based on the RUSLE-GIS-GEE framework

M Petito, S Cantalamessa, G Pagnani, F Degiorgio… - Agronomy, 2022 - mdpi.com
The processes of soil erosion and land degradation are more rapid in the case of
inappropriate agricultural management, which leads to increased soil loss rates. Moreover …

[PDF][PDF] Coastal Tourism: Impact For Built-Up Area Growth And Correlation To Vegetation And Water Indices Derived From Sentinel-2 Remote Sensing Imagery

IN Sunarta, M Saifulloh - Geo Journal of Tourism and …, 2022 - gtg.webhost.uoradea.ro
Indonesia is an archipelagic country that has diverse tourism potential, one of which is the
island of Bali. The island of Bali is famous for its tourism potential to the World Level …