Remote Sensing in Agriculture: State-of-the-Art
The Special Issue on “Remote Sensing in Agriculture: State-of-the-Art” gives an exhaustive overview of the ongoing remote sensing technology transfer into the agricultural sector. It consists of 10 high-quality papers focusing on a wide range of remote sensing models and techniques to forecast crop...
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| Year of Publication: | 2022 |
| Language: | English |
| Physical Description: | 1 electronic resource (220 p.) |
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(CKB)5470000001631739 (oapen)https://directory.doabooks.org/handle/20.500.12854/94550 (EXLCZ)995470000001631739 |
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Borgogno-Mondino, Enrico edt Remote Sensing in Agriculture: State-of-the-Art Remote Sensing in Agriculture Basel MDPI - Multidisciplinary Digital Publishing Institute 2022 1 electronic resource (220 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier The Special Issue on “Remote Sensing in Agriculture: State-of-the-Art” gives an exhaustive overview of the ongoing remote sensing technology transfer into the agricultural sector. It consists of 10 high-quality papers focusing on a wide range of remote sensing models and techniques to forecast crop production and yield, to map agricultural landscape and to evaluate plant and soil biophysical features. Satellite, RPAS, and SAR data were involved. This preface describes shortly each contribution published in such Special Issue. English Technology: general issues bicssc History of engineering & technology bicssc Environmental science, engineering & technology bicssc feature selection spectral angle mapper support vector machine support vector regression hyperspectral imaging UAV cross-scale yellow rust spatial resolution winter wheat MODIS northern Mongolia remote sensing indices spring wheat yield estimation UAV-based LiDAR biomass crop height field phenotyping oasis crop type mapping Sentinel-1 and 2 integration statistically homogeneous pixels (SHPs) red-edge spectral bands and indices recursive feature increment (RFI) random forest (RF) unmanned aerial vehicles (UAVs) remote sensing (RS) thermal UAV RS thermal infrared (TIR) precision agriculture (PA) crop water stress monitoring plant disease detection vegetation status monitoring Landsat data blending crop yield prediction gap-filling volumetric soil moisture synthetic aperture radar (SAR) Sentinel-1 soil moisture semi-empirical model soil moisture Karnataka India reflectance digital number (DN) vegetation index (VI) Parrot Sequoia (Sequoia) DJI Phantom 4 Multispectral (P4M) Synthetic Aperture Radar SAR lodging Hidden Markov Random Field HMRF CDL corn soybean crop Monitoring crop management apple orchard damage polarimetric decomposition entropy anisotropy alpha angle storm damage mapping economic loss insurance support 3-0365-5483-1 Tarantino, Eufemia edt Capolupo, Alessandra edt Borgogno-Mondino, Enrico oth Tarantino, Eufemia oth Capolupo, Alessandra oth |
| language |
English |
| format |
eBook |
| author2 |
Tarantino, Eufemia Capolupo, Alessandra Borgogno-Mondino, Enrico Tarantino, Eufemia Capolupo, Alessandra |
| author_facet |
Tarantino, Eufemia Capolupo, Alessandra Borgogno-Mondino, Enrico Tarantino, Eufemia Capolupo, Alessandra |
| author2_variant |
e b m ebm e t et a c ac |
| author2_role |
HerausgeberIn HerausgeberIn Sonstige Sonstige Sonstige |
| title |
Remote Sensing in Agriculture: State-of-the-Art |
| spellingShingle |
Remote Sensing in Agriculture: State-of-the-Art |
| title_full |
Remote Sensing in Agriculture: State-of-the-Art |
| title_fullStr |
Remote Sensing in Agriculture: State-of-the-Art |
| title_full_unstemmed |
Remote Sensing in Agriculture: State-of-the-Art |
| title_auth |
Remote Sensing in Agriculture: State-of-the-Art |
| title_alt |
Remote Sensing in Agriculture |
| title_new |
Remote Sensing in Agriculture: State-of-the-Art |
| title_sort |
remote sensing in agriculture: state-of-the-art |
| publisher |
MDPI - Multidisciplinary Digital Publishing Institute |
| publishDate |
2022 |
| physical |
1 electronic resource (220 p.) |
| isbn |
3-0365-5484-X 3-0365-5483-1 |
| illustrated |
Not Illustrated |
| work_keys_str_mv |
AT borgognomondinoenrico remotesensinginagriculturestateoftheart AT tarantinoeufemia remotesensinginagriculturestateoftheart AT capolupoalessandra remotesensinginagriculturestateoftheart AT borgognomondinoenrico remotesensinginagriculture AT tarantinoeufemia remotesensinginagriculture AT capolupoalessandra remotesensinginagriculture |
| status_str |
n |
| ids_txt_mv |
(CKB)5470000001631739 (oapen)https://directory.doabooks.org/handle/20.500.12854/94550 (EXLCZ)995470000001631739 |
| carrierType_str_mv |
cr |
| is_hierarchy_title |
Remote Sensing in Agriculture: State-of-the-Art |
| author2_original_writing_str_mv |
noLinkedField noLinkedField noLinkedField noLinkedField noLinkedField |
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1796652572451274752 |
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