← Назад к работе
Работы, на которые ссылается эта работа
Работ: 49
Работа: Sunflower crop yield prediction by advanced statistical modeling using satellite-derived vegetation indices and crop phenology
Red and photographic infrared linear combinations for monitoring vegetation
Статья1979Цитирований: 19ABIOverview of the radiometric and biophysical performance of the MODIS vegetation indices
Alfredo Huete, Kamel Didan, Tomoaki Miura +3
Статья2002Цитирований: 13ABIUse of a green channel in remote sensing of global vegetation from EOS-MODIS
Anatoly A. Gitelson, Yoram J. Kaufman, Mark N. Merzlyak
Статья1996Цитирований: 10ABISignificant Remote Sensing Vegetation Indices: A Review of Developments and Applications
Обзорная статья2017Цитирований: 7ABIHigh resolution wheat yield mapping using Sentinel-2
Merryn Hunt, George Alan Blackburn, Luis Carrasco +2
Статья2019Цитирований: 4ABIA uniform decimal code for growth stages of crops and weeds
Peter Lancashire, H. Bleiholder, T. van den Boom +4
Статья1991Цитирований: 2ABIThe Control of Errors in Momentary Yield Data from Combine Harvesters
Lars Thylén, Donal Patrick Murphy
Статья1996Цитирований: 2ABIRandom Forests for Global and Regional Crop Yield Predictions
Jig Han Jeong, Jonathan P. Resop, Nathaniel D. Mueller +8
Статья2016Цитирований: 2ABICombining Spatial and Temporal Corn Silage Yield Variability for Management Zone Development
Tulsi P. Kharel, Ángel Maresma, Karl Czymmek +2
Статья2019Цитирований: 2ABIUse time series NDVI and EVI to develop dynamic crop growth metrics for yield modeling
Sadia Alam Shammi, Qingmin Meng
Статья2020Цитирований: 2ABI