Ding L, Lin D, Lin S, Zhang J, Cui X, Wang Y, Tang H, Bruzzone L (2022) Looking outside the window: Wide-context transformer for the semantic segmentation of high-resolution remote sensing images. IEEE Trans Geosci Remote Sens 60:1–13. https://doi.org/10.1109/tgrs.2022.3168697 Artic...
REMOTE sensingPRECISION farming(1) Background: Yield-monitoring systems are widely used in grain crops but are less advanced for hay and forage. Current commercial systems are generally limited to weighing individual bales, limiting the spatial resolution of maps of hay yield. This study evaluated ...
UAV-Based Remote Sensing Applications for Bridge Condition Assessment. Remote Sens. 2021, 13, 1809. https://doi.org/10.3390/rs13091809 AMA Style Feroz S, Abu Dabous S. UAV-Based Remote Sensing Applications for Bridge Condition Assessment. Remote Sensing. 2021; 13(9):1809. https://doi....
By investigating environmental factors (soil, vegetation and topography) and comparing different remote sensing sources (Landsat-8, Radarsat-2, ASTER Global Digital Elevation Model (DEM) V002 (ASTGTM2), unmanned aerial vehicle (UAV)) for karst mountainous catchments of southwest China, this study ...
Remote sensing systems based on unmanned aerial vehicles (UAVs) are well suited for airborne monitoring of small to medium-sized farmland in agricultural applications. An imaging system is often used in the form of a multispectral multi-camera system to derive well-established vegetation indices (VIs...
Machine Learning-Based Crop Drought Mapping System by UAV Remote Sensing RGB ImageryJinya Su, Matthew Coombes, Cunjia Liu, Yongchao Zhu, Xingyang Song, Shibo Fang, Lei Guo, and Wen-Hua Chen https://doi.org/10.1142/S2301385020500053Cited by:28...
To realize rapid acquisition of massive phenotypic information of wheat breeding material, the studies on UAV(unmanned aerial vehicle) platform selection, sensor integration, and remote sensing data processing and analyses were carried out respectively, and a set of multi-load agricultural UAV based rem...
UAV remote sensing is usually selected under clear and windless weather conditions, but it is not possible to have such weather every day, which results in the UAV not collecting continuous daily spectral information. To explore this issue, we focused on summer maize with four irrigation levels ...
(UAV) remote sensing technology has been widely used in the field of agroforestry. The objective of this study was to establish a method for identifying rubber trees infected or uninfected by PM using UAV-based multispectral images. We resampled the original multispectral image with 3.4 cm ...
UAV-based remote sensing technology has been applied in farmland management. The spectral parameters obtained from UAV-based cameras can be used to estimate crop growth parameters. At present, the sensors which are carried by UAVs are mostly Red-Green-Blue cameras and multispectral cameras, and, ...