Recent Advances and Contribution of Synthetic Aperture Radar (SAR) Applications for Agricultural Monitoring

• Muut tekijät: Ajadi, Olaniyi (Toimittaja), McAlpin, David (Toimittaja)
• Aineistotyyppi: Elektroninen Kirjan osa
• Kieli: englanti
• Julkaistu: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Aiheet: Technology: general issues; History of engineering & technology; monsoon cropland; Sentinel; smallholders; Google Earth Engine; SAR; India; tropical agricultural monitoring; canopy development analysis; phenology retrieval; Sentinel-1; multitemporal SAR; multi-task machine learning; crop development; remote sensing; productivity indicators; wheat; growth dynamics; synthetic aperture radar; Sentinel-1A; rice detection; time-series data; rice growth-related features; crop height; RADARSAT-2; corn; Synthetic Aperture Radar (SAR); PolSAR; machine learning; RFR; SVR; agriculture; temporal composite; object-oriented; crop classification; crop monitoring; polarimetry; decomposition; field variability; crop parameters; multitemporal analysis; crop identification; parcel-based classification; Common Agricultural Policy; dual-pol; crop characterization; phenology; unsupervised classification
• Linkit: DOAB: download the publication; DOAB: description of the publication

Yhteenveto

Following on from the Special Issue "Recent Advances and Contribution of Synthetic Aperture Radar (SAR) Applications for Agricultural Monitoring", we concluded that SAR has now become a pivotal sensor for agricultural monitoring. In this Special Issue, you will find a variety of background material discussing SAR and its applications. Several papers focused on using machine learning approaches with SAR to monitor crop stages and classify crops, while others focused on the polarimetric mode to estimate crop height. Going forward, we hope that you will find this Special Issue to be a useful reference.

Ulkoasu

1 electronic resource (222 p.)

ISBN

books978-3-0365-7359-5
9783036573588
9783036573595

Pääsy

Open Access