[HTML][HTML] What is going on within google earth engine? A systematic review and meta-analysis

P Pérez-Cutillas, A Pérez-Navarro… - … Society and environment, 2023 - Elsevier
Abstract Google Earth Engine (GEE) is a geospatial processing platform based on geo-
information applications in the 'cloud'. This platform provides free access to huge volumes of …

[HTML][HTML] A practical approach to reconstruct high-quality Landsat NDVI time-series data by gap filling and the Savitzky–Golay filter

Y Chen, R Cao, J Chen, L Liu, B Matsushita - ISPRS Journal of …, 2021 - Elsevier
Abstract Normalized Difference Vegetation Index (NDVI) data derived from Landsat satellites
are important resources for vegetation monitoring. However, Landsat NDVI time-series data …

Crop yield prediction via explainable AI and interpretable machine learning: Dangers of black box models for evaluating climate change impacts on crop yield

T Hu, X Zhang, G Bohrer, Y Liu, Y Zhou, J Martin… - Agricultural and Forest …, 2023 - Elsevier
Statistical crop modeling is pivotal for understanding climate impacts on crop yields. Choices
of models matter: Linear regression is interpretable but limited in predictive power; machine …

[HTML][HTML] Continuous monitoring and sub-annual change detection in high-latitude forests using Harmonized Landsat Sentinel-2 data

C Mulverhill, NC Coops, A Achim - ISPRS Journal of Photogrammetry and …, 2023 - Elsevier
Spatially and temporally precise monitoring of forest resources is becoming increasingly
vital in rapidly changing environmental and economic conditions. However, recent …

Improved global 250 m 8-day NDVI and EVI products from 2000–2021 using the LSTM model

C Xiong, H Ma, S Liang, T He, Y Zhang, G Zhang, J Xu - Scientific Data, 2023 - nature.com
Satellite vegetation index (VI) products, such as normalized difference vegetation index
(NDVI) and enhanced vegetation index (EVI), have been widely used. However, they are …

Using POI and time series Landsat data to identify and rebuilt surface mining, vegetation disturbance and land reclamation process based on Google Earth Engine

W Xiao, X Deng, T He, J Guo - Journal of Environmental Management, 2023 - Elsevier
The development of coal resources is necessary, but it has a huge negative impact on land,
ecology, and the environment. With the increasing awareness of environmental protection …

The application of satellite sensors, current state of utilization, and sources of remote sensing dataset in hydrology for water resource management

D Abegeja - Journal of Water and Health, 2024 - iwaponline.com
Hydrologists rely heavily on satellite sensors because they provide useful information for
tracking, evaluating, managing water resources, aiding provision of safe drinking water, help …

The impacts of disturbances on mountain ecosystem services: Insights from BEAST and Bayesian network

R Lyu, J Pang, J Zhang, J Zhang - Applied Geography, 2024 - Elsevier
Disturbances, such as wildfire, insect outbreak, wind throw and building construction, can
significantly alter ecological processes and impact the supply of mountain ecosystem …

Remote-sensing evaluation and temporal and spatial change detection of ecological environment quality in coal-mining areas

X Nie, Z Hu, M Ruan, Q Zhu, H Sun - Remote Sensing, 2022 - mdpi.com
The large-scale development and utilization of coal resources have brought great
challenges to the ecological environment of coal-mining areas. Therefore, this paper has …

[HTML][HTML] Analysis of SPI index trend variations in the United Kingdom-A cluster-based and bayesian ensemble algorithms approach

F Di Nunno, G de Marinis, F Granata - Journal of Hydrology: Regional …, 2024 - Elsevier
Abstract Study region United Kingdom (UK). Study focus A regional investigation of the
Standard Precipitation Index (SPI) trends and abrupt changes in the UK has been carried …