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Работ: 52
Работа: Comparison of PlanetScope, Sentinel-2, and landsat 8 data in soybean yield estimation within-field variability with random forest regression
Red and photographic infrared linear combinations for monitoring vegetation
Статья1979Цитирований: 19ABIUse of a green channel in remote sensing of global vegetation from EOS-MODIS
Anatoly A. Gitelson, Yoram J. Kaufman, Mark N. Merzlyak
Статья1996Цитирований: 10ABIHigh resolution wheat yield mapping using Sentinel-2
Merryn Hunt, George Alan Blackburn, Luis Carrasco +2
Статья2019Цитирований: 4ABIRandom forests: from early developments to recent advancements
Khaled Fawagreh, Mohamed Medhat Gaber, Eyad Elyan
Статья2014Цитирований: 3ABISEN2-AGRI – CROP TYPE MAPPING PILOT STUDY USING SENTINEL-2 SATELLITE IMAGERY IN INDIA
Статья2019Цитирований: 3ABIEcosystem carbon fluxes and canopy spectral reflectance of a mountain meadow
Damiano Gianelle, Loris Vescovo, Barbara Marcolla +2
Статья2008Цитирований: 2ABICounty-Level Soybean Yield Prediction Using Deep CNN-LSTM Model
Jie Sun, Liping Di, Ziheng Sun +2
Статья2019Цитирований: 2ABISoybean yield prediction from UAV using multimodal data fusion and deep learning
Maitiniyazi Maimaitijiang, Vasit Sagan, Paheding Sidike +3
Статья2019Цитирований: 2ABIAssessing the fidelity of Landsat-based fAPAR models in two diverse sugarcane growing regions
Sybrand Jacobus Muller, P. Sithole, A. Singels +1
Статья2020Цитирований: 2ABI