Monitoring and mapping vegetation cover changes in arid and semi-arid areas using remote sensing technology: a review
Vegetation cover change is one of the key indicators used for monitoring environmental
quality. It can accurately reflect changes in hydrology, climate, and human activities …
quality. It can accurately reflect changes in hydrology, climate, and human activities …
Beyond vegetation: A review unveiling additional insights into agriculture and forestry through the application of vegetation indices
S Vélez, R Martínez-Peña, D Castrillo - J, 2023 - mdpi.com
Vegetation indices (VIs) have long been a crucial tool for monitoring plant growth and
health, assessing the impact of environmental factors on vegetation, and supporting …
health, assessing the impact of environmental factors on vegetation, and supporting …
Vegetation mapping with random forest using sentinel 2 and GLCM texture feature—A case study for Lousã region, Portugal
P Mohammadpour, DX Viegas, C Viegas - Remote Sensing, 2022 - mdpi.com
Vegetation mapping requires accurate information to allow its use in applications such as
sustainable forest management against the effects of climate change and the threat of …
sustainable forest management against the effects of climate change and the threat of …
Early identification of crop type for smallholder farming systems using deep learning on time-series sentinel-2 imagery
Climate change and the COVID-19 pandemic have disrupted the food supply chain across
the globe and adversely affected food security. Early estimation of staple crops can assist …
the globe and adversely affected food security. Early estimation of staple crops can assist …
Investigating the long-term trends in aerosol optical depth and its association with meteorological parameters and enhanced vegetation index over Turkey
Aerosol optical depth (AOD) provides useful information on particulate matter pollution at
both regional and global levels. In this study, the long-term datasets of aerosols …
both regional and global levels. In this study, the long-term datasets of aerosols …
Agricultural land suitability assessment using satellite remote sensing-derived soil-vegetation indices
R Binte Mostafiz, R Noguchi, T Ahamed - Land, 2021 - mdpi.com
Satellite remote sensing technologies have a high potential in applications for evaluating
land conditions and can facilitate optimized planning for agricultural sectors. However …
land conditions and can facilitate optimized planning for agricultural sectors. However …
[HTML][HTML] Cloud-based large-scale data retrieval, mapping, and analysis for land monitoring applications with google earth engine (GEE)
Cloud-based computing systems are linked with analytical tools for large-scale flood
monitoring to solve these problems. Researchers want an exceptionally efficient and …
monitoring to solve these problems. Researchers want an exceptionally efficient and …
Quantifying the effectiveness of shaded fuel breaks from ground-based, aerial, and spaceborne observations
Shaded fuel breaks are treatments that aim to mitigate wildfires by establishing linearly
aligned locations where wildfire suppression efforts can be more effective at stopping …
aligned locations where wildfire suppression efforts can be more effective at stopping …
Improvement of spatial estimation for soil organic carbon stocks in Yuksekova plain using Sentinel 2 imagery and gradient descent–boosted regression tree
Carbon sequestration in earth surface is higher than the atmosphere, and the amount of
carbon stored in wetlands is much greater than all other land surfaces. The purpose of this …
carbon stored in wetlands is much greater than all other land surfaces. The purpose of this …
Testing the robust yield estimation method for winter wheat, corn, rapeseed, and sunflower with different vegetation indices and meteorological data
Remote sensing-based crop yield estimation methods rely on vegetation indices, which
depend on the availability of the number of observations during the year, influencing the …
depend on the availability of the number of observations during the year, influencing the …