[HTML][HTML] Fifty years of Landsat science and impacts

MA Wulder, DP Roy, VC Radeloff, TR Loveland… - Remote Sensing of …, 2022 - Elsevier
Since 1972, the Landsat program has been continually monitoring the Earth, to now provide
50 years of digital, multispectral, medium spatial resolution observations. Over this time …

Massive soybean expansion in South America since 2000 and implications for conservation

XP Song, MC Hansen, P Potapov, B Adusei… - Nature …, 2021 - nature.com
A prominent goal of policies mitigating climate change and biodiversity loss is to achieve
zero deforestation in the global supply chain of key commodities, such as palm oil and …

[HTML][HTML] Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis

M Belgiu, O Csillik - Remote sensing of environment, 2018 - Elsevier
Efficient methodologies for mapping croplands are an essential condition for the
implementation of sustainable agricultural practices and for monitoring crops periodically …

A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach

Y Cai, K Guan, J Peng, S Wang, C Seifert… - Remote sensing of …, 2018 - Elsevier
Accurate and timely spatial classification of crop types based on remote sensing data is
important for both scientific and practical purposes. Spatially explicit crop-type information …

DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic corn and soybean mapping

J Xu, Y Zhu, R Zhong, Z Lin, J Xu, H Jiang… - Remote Sensing of …, 2020 - Elsevier
Accurate crop mapping provides important and timely information for decision support on the
estimation of crop production at large scale. Most existing crop-specific cover products …

[HTML][HTML] A comparison of global agricultural monitoring systems and current gaps

S Fritz, L See, JCL Bayas, F Waldner, D Jacques… - Agricultural systems, 2019 - Elsevier
Global and regional scale agricultural monitoring systems aim to provide up-to-date
information regarding food production to different actors and decision makers in support of …

[HTML][HTML] Advances in high-resolution land surface satellite products: A comprehensive review of inversion algorithms, products and challenges

S Liang, T He, J Huang, A Jia, Y Zhang, Y Cao… - Science of Remote …, 2024 - Elsevier
For many applications, raw satellite observations need to be converted to high-level
products of various essential environmental variables. While numerous products are …

Examining earliest identifiable timing of crops using all available Sentinel 1/2 imagery and Google Earth Engine

N You, J Dong - ISPRS Journal of Photogrammetry and Remote …, 2020 - Elsevier
Timely and accurate information on crop planting areas is critical for estimating crop
production, and earlier crop mapping can benefit decision-making related to crop insurance …

Landsat analysis ready data for global land cover and land cover change mapping

P Potapov, MC Hansen, I Kommareddy… - Remote Sensing, 2020 - mdpi.com
The multi-decadal Landsat data record is a unique tool for global land cover and land use
change analysis. However, the large volume of the Landsat image archive and inconsistent …

Pre-and within-season crop type classification trained with archival land cover information

DM Johnson, R Mueller - Remote Sensing of Environment, 2021 - Elsevier
Crop type maps were created without the traditional need for in-season training data across
the Corn Belt and Great Plains regions of the United States. This was accomplished through …