Работы, на которые ссылается эта работа

Работ: 50

Работа: Integrating the Sentinel-1, Sentinel-2 and topographic data into soybean yield modelling using machine learning

Random Forests
Leo Breiman
Статья2001Цитирований: 67
ABI
A soil-adjusted vegetation index (SAVI)
Alfredo Huete
Статья1988Цитирований: 23
ABI
Red and photographic infrared linear combinations for monitoring vegetation
Compton J. Tucker
Статья1979Цитирований: 19
ABI
The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features
Stuart K. McFeeters
Статья1996Цитирований: 12
ABI
Use of a green channel in remote sensing of global vegetation from EOS-MODIS
Anatoly A. Gitelson, Yoram J. Kaufman, Mark N. Merzlyak
Статья1996Цитирований: 10
ABI
Sunflower crop yield prediction by advanced statistical modeling using satellite-derived vegetation indices and crop phenology
Khilola Amankulova, Nizom Farmonov, Uzbekkhon Mukhtorov +1
СтатьяRemote Sensing in AgricultureGeocarto International2023Цитирований: 7
ABI
Application of Vegetation Indices for Agricultural Crop Yield Prediction Using Neural Network Techniques
Sudhanshu Panda, Daniel P. Ames, Suranjan Panigrahi
Статья2010Цитирований: 5
ABI
Combining PlanetScope and Sentinel-2 images with environmental data for improved wheat yield estimation
Nizom Farmonov, Khilola Amankulova, József Szatmári +4
СтатьяRemote Sensing in AgricultureInternational Journal of Digital Earth2023Цитирований: 3
ABI
A five‐year analysis of MODIS NDVI and NDWI for grassland drought assessment over the central Great Plains of the United States
Yingxin Gu, Jesslyn F. Brown, J. P. Verdin +1
Статья2007Цитирований: 3
ABI
Evaluation of MODIS NDVI and NDWI for vegetation drought monitoring using Oklahoma Mesonet soil moisture data
Yingxin Gu, Eric Hunt, Brian Wardlow +3
Статья2008Цитирований: 3
ABI
Forecasting crop yield using remotely sensed vegetation indices and crop phenology metrics
Douglas K. Bolton, M. A. Friedl
Статья2013Цитирований: 2
ABI
The Control of Errors in Momentary Yield Data from Combine Harvesters
Lars Thylén, Donal Patrick Murphy
Статья1996Цитирований: 2
ABI
Predicting Wheat Yield at the Field Scale by Combining High-Resolution Sentinel-2 Satellite Imagery and Crop Modelling
Yan Zhao, Andries Potgieter, Miao Zhang +2
Статья2020Цитирований: 2
ABI
An analysis of cropland mask choice and ancillary data for annual corn yield forecasting using MODIS data
Yang Shao, James B. Campbell, Gregory N. Taff +1
Статья2015Цитирований: 2
ABI
Ecosystem carbon fluxes and canopy spectral reflectance of a mountain meadow
Damiano Gianelle, Loris Vescovo, Barbara Marcolla +2
Статья2008Цитирований: 2
ABI
Remote Sensing for Precision Agriculture: Sentinel-2 Improved Features and Applications
Joel Segarra, Ma. Luisa Buchaillot, J. L. Araus +1
Статья2020Цитирований: 2
ABI
Soya Yield Prediction on a Within-Field Scale Using Machine Learning Models Trained on Sentinel-2 and Soil Data
Branislav Pejak, Predrag Lugonja, Aleksandar Antić +7
Статья2022Цитирований: 2
ABI
Random decision forests
Tin Kam Ho
Статья2002Цитирований: 2
ABI
Understanding the temporal behavior of crops using Sentinel-1 and Sentinel-2-like data for agricultural applications
Amanda Veloso, Stéphane Mermoz, Alexandre Bouvet +4
Статья2017Цитирований: 2
ABI
Crop Yield Prediction using Machine Learning Techniques
Ramesh Medar, Vijay S. Rajpurohit, Shweta Shweta
Статья2019Цитирований: 2
ABI
Без названия
ДругоеЦитирований: 1
ABI
Без названия
ДругоеЦитирований: 1
ABI
Без названия
ДругоеЦитирований: 1
ABI
Без названия
ДругоеЦитирований: 1
ABI
Без названия
ДругоеЦитирований: 1
ABI