Assessing rice lodging using UAV visible and multispectral image
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2021.1942575
Abstract: Rice lodging may result in serious yield loss. Manual in-situ assessments of lodging are inefficient and inaccurate. Therefore, this paper explores the potential of unmanned aerial vehicle (UAV) im... read more here.
Keywords: lodging using; using uav; rice; assessing rice ... See more keywords
Estimating soil organic carbon using UAV and Sentinel-2 images and multilayer perceptron regression in Coastal Wetland
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2024.2443613
Abstract: ABSTRACT Hyperspectral imagery from an Unmanned Aerial Vehicle (UAV) has been used to predict soil organic carbon (SOC) content. This study compared UAV hyperspectral imagery with Sentinel-2A multispectral imagery and soil spectra in the laboratory… read more here.
Keywords: imagery; using uav; sentinel imagery; uav sentinel ... See more keywords
Nearshore bathymetry estimation using UAV
Sign Up to like & getrecommendations! Published in 2018 at "Coastal Engineering Journal"
DOI: 10.1080/21664250.2018.1436239
Abstract: ABSTRACT An unmanned aerial vehicle (UAV)-based system is developed to flexibly survey nearshore bathymetry with high resolutions in both time and space. The system is based on the inverse estimation of water depth from the… read more here.
Keywords: nearshore bathymetry; estimation; using uav; estimation using ... See more keywords
An Interactive Prompt Based Network for Urban Floods Area Segmentation Using UAV Images
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2024.3498865
Abstract: As climate change intensifies, extreme weather events like floods are occurring with increasing frequency. While data-driven deep learning methods are effective for extracting flood disaster information, their efficiency is constrained by the scarcity of postdisaster… read more here.
Keywords: information; segmentation; model; channel ... See more keywords
Evaluation of Sentinel-2 and MODIS NDVI Accuracy in Heterogeneous Agricultural Landscapes Using UAV Observations: A Case Study in the Heihe River Basin
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2025.3574720
Abstract: The Sentinel-2 and the Moderate Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) products are the most widely used datasets for vegetation researches by remote sensing. However, their accuracy and uncertainty require further analysis… read more here.
Keywords: heihe river; modis; sentinel modis; river basin ... See more keywords
Assessment of selective logging impacts using UAV, Landsat, and Sentinel data in the Brazilian Amazon rainforest
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Applied Remote Sensing"
DOI: 10.1117/1.jrs.16.014526
Abstract: Abstract. Several studies have assessed forest disturbance in tropical forests using Landsat imagery. However, the spatial resolution (30 m) of Landsat images has often been considered too coarse to accurately detect the extent and impacts… read more here.
Keywords: brazilian amazon; using uav; landsat sentinel; selective logging ... See more keywords
A Novel Index to Detect Vegetation in Urban Areas Using UAV-Based Multispectral Images
Sign Up to like & getrecommendations! Published in 2021 at "Applied Sciences"
DOI: 10.3390/app11083472
Abstract: Unmanned aerial vehicles (UAVs) equipped with high-resolution multispectral cameras have increasingly been used in urban planning, landscape management, and environmental monitoring as an important complement to traditional satellite remote sensing systems. Interest in urban regeneration… read more here.
Keywords: vegetation index; using uav; vegetation; multispectral images ... See more keywords
Detecting and distinguishing between apicultural plants using UAV multispectral imaging.
Sign Up to like & getrecommendations! Published in 2023 at "PeerJ"
DOI: 10.7717/peerj.15065
Abstract: Detecting and distinguishing apicultural plants are important elements of the evaluation and quantification of potential honey production worldwide. Today, remote sensing can provide accurate plant distribution maps using rapid and efficient techniques. In the present… read more here.
Keywords: distinguishing apicultural; apicultural plants; detecting distinguishing; plants using ... See more keywords