Recent applications of Landsat 8/OLI and Sentinel-2/MSI for land use and land cover mapping: A systematic review

M ED Chaves, M CA Picoli, I D. Sanches - Remote Sensing, 2020 - mdpi.com
Recent applications of Landsat 8 Operational Land Imager (L8/OLI) and Sentinel-2
MultiSpectral Instrument (S2/MSI) data for acquiring information about land use and land …

[HTML][HTML] Assimilation of remote sensing into crop growth models: Current status and perspectives

J Huang, JL Gómez-Dans, H Huang, H Ma… - Agricultural and forest …, 2019 - Elsevier
Timely monitoring of crop lands is important in order to make agricultural activities more
sustainable, as well as ensuring food security. The use of Earth Observation (EO) data …

The Harmonized Landsat and Sentinel-2 surface reflectance data set

M Claverie, J Ju, JG Masek, JL Dungan… - Remote sensing of …, 2018 - Elsevier
Abstract The Harmonized Landsat and Sentinel-2 (HLS) project is a NASA initiative aiming
to produce a Virtual Constellation (VC) of surface reflectance (SR) data acquired by the …

[HTML][HTML] County-level soybean yield prediction using deep CNN-LSTM model

J Sun, L Di, Z Sun, Y Shen, Z Lai - Sensors, 2019 - mdpi.com
Yield prediction is of great significance for yield mapping, crop market planning, crop
insurance, and harvest management. Remote sensing is becoming increasingly important in …

High resolution wheat yield mapping using Sentinel-2

ML Hunt, GA Blackburn, L Carrasco… - Remote Sensing of …, 2019 - Elsevier
Accurate crop yield estimates are important for governments, farmers, scientists and
agribusiness. This paper provides a novel demonstration of the use of freely available …

Multilevel deep learning network for county-level corn yield estimation in the us corn belt

J Sun, Z Lai, L Di, Z Sun, J Tao… - IEEE Journal of Selected …, 2020 - ieeexplore.ieee.org
Accurate and timely estimation of crop yield at a small scale is of great significance to food
security and harvest management. Recent studies have proven remote sensing is an …

An evaluation of Landsat, Sentinel-2, Sentinel-1 and MODIS data for crop type mapping

XP Song, W Huang, MC Hansen, P Potapov - Science of Remote Sensing, 2021 - Elsevier
Generating crop type maps using satellite remote sensing requires robust data acquisition at
both high spatial and temporal resolutions to resolve rapid phenological transition at the …

Early-season mapping of winter wheat in China based on Landsat and Sentinel images

J Dong, Y Fu, J Wang, H Tian, S Fu… - Earth System …, 2020 - essd.copernicus.org
Early-season crop identification is of great importance for monitoring crop growth and
predicting yield for decision makers and private sectors. As one of the largest producers of …

Improved mapping of forest type using spectral-temporal Landsat features

VJ Pasquarella, CE Holden, CE Woodcock - Remote Sensing of …, 2018 - Elsevier
Multi-spectral imagery from the Landsat family of satellites has been used to map forest
properties for decades, but accurate forest type characterizations at a 30-m Landsat …

Sentinel-1 data for winter wheat phenology monitoring and mapping

A Nasrallah, N Baghdadi, M El Hajj, T Darwish… - Remote Sensing, 2019 - mdpi.com
The ability of Synthetic Aperture Radar (SAR) Sentinel-1 data to detect the main wheat
phenological phases was investigated in the Bekaa plain of Lebanon. Accordingly, the …