PlanetScope, Sentinel-2, and Sentinel-1 data integration for object-based land cover classification in Google Earth Engine
M Vizzari - Remote Sensing, 2022 - mdpi.com
PlanetScope (PL) high-resolution composite base maps have recently become available
within Google Earth Engine (GEE) for the tropical regions thanks to the partnership between …
within Google Earth Engine (GEE) for the tropical regions thanks to the partnership between …
Flood damage assessment with Sentinel-1 and Sentinel-2 data after Sardoba dam break with GLCM features and Random Forest method
Accurate map** and monitoring of flooded areas are immensely required for disaster
management purposes, such as for damage assessment and mitigation. In this study, the …
management purposes, such as for damage assessment and mitigation. In this study, the …
[HTML][HTML] How textural features can improve SAR-based tropical forest disturbance map**
Spatially and timely accurate information about tropical forest disturbances is crucial for
tracking critical forest changes, supporting forest management, and enabling law …
tracking critical forest changes, supporting forest management, and enabling law …
Fusion of Sentinel-1 and Sentinel-2 data in map** the impervious surfaces at city scale
Urbanization creates new development in open spaces and agricultural fields, synonymous
with increasing impervious surfaces. Such surfaces restrain the natural infiltration of water …
with increasing impervious surfaces. Such surfaces restrain the natural infiltration of water …
Sentinel 1 and Sentinel 2 for cropland map** with special emphasis on the usability of textural and vegetation indices
S Koley, J Chockalingam - Advances in Space Research, 2022 - Elsevier
Regional as well as global cropland database at a high spatial resolution like 10 m is not
available. This study aims to integrate the Sentinel-1 synthetic aperture radar (SAR) data …
available. This study aims to integrate the Sentinel-1 synthetic aperture radar (SAR) data …
Crop type classification with combined spectral, texture, and radar features of time-series Sentinel-1 and Sentinel-2 data
G Cheng, H Ding, J Yang, Y Cheng - International Journal of …, 2023 - Taylor & Francis
Crop type map** visualizes the spatial distribution pattern and proportion of planting
areas of different crop types, which is the basis for subsequent agricultural applications …
areas of different crop types, which is the basis for subsequent agricultural applications …
Cannabis detection from optical and RADAR data fusion: A comparative analysis of the SMILE machine learning algorithms in Google Earth Engine
Accurate crop map** for agricultural monitoring requires the use of robust image
classification algorithms. Cultivation of illegal cannabis is common in the Bekaa plain …
classification algorithms. Cultivation of illegal cannabis is common in the Bekaa plain …
Modeling of texture quantification and image classification for change prediction due to COVID lockdown using Skysat and Planetscope imagery
This research work models two methods together to provide maximum information about a
study area. The quantification of image texture is performed using the “grey level co …
study area. The quantification of image texture is performed using the “grey level co …
[HTML][HTML] Quantifying irrigated winter wheat LAI in Argentina using multiple sentinel-1 incidence angles
Synthetic aperture radar (SAR) data provides an appealing opportunity for all-weather day
or night Earth surface monitoring. The European constellation Sentinel-1 (S1) consisting of …
or night Earth surface monitoring. The European constellation Sentinel-1 (S1) consisting of …
Synergy of Sentinel-1 and Sentinel-2 time series for cloud-free vegetation water content map** with multi-output Gaussian processes
G Caballero, A Pezzola, C Winschel… - Remote Sensing, 2023 - mdpi.com
Optical Earth Observation is often limited by weather conditions such as cloudiness. Radar
sensors have the potential to overcome these limitations, however, due to the complex radar …
sensors have the potential to overcome these limitations, however, due to the complex radar …