[HTML][HTML] Fifty years of Landsat science and impacts
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 …
50 years of digital, multispectral, medium spatial resolution observations. Over this time …
High-throughput estimation of crop traits: A review of ground and aerial phenotyping platforms
Crop yields need to be improved in a sustainable manner to meet the expected worldwide
increase in population over the coming decades as well as the effects of anticipated climate …
increase in population over the coming decades as well as the effects of anticipated climate …
Massive soybean expansion in South America since 2000 and implications for conservation
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 …
zero deforestation in the global supply chain of key commodities, such as palm oil and …
[HTML][HTML] Global trends of forest loss due to fire from 2001 to 2019
Forest fires contribute to global greenhouse gas emissions and can negatively affect public
health, economic activity, and provision of ecosystem services (Aragão et al., 2018; Cascio …
health, economic activity, and provision of ecosystem services (Aragão et al., 2018; Cascio …
Key issues in rigorous accuracy assessment of land cover products
SV Stehman, GM Foody - Remote Sensing of Environment, 2019 - Elsevier
Accuracy assessment and land cover mapping have been inexorably linked throughout the
first 50 years of publication of Remote Sensing of Environment. The earliest developers of …
first 50 years of publication of Remote Sensing of Environment. The earliest developers of …
A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach
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 …
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
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 …
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
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 …
information regarding food production to different actors and decision makers in support of …
Towards interpreting multi-temporal deep learning models in crop mapping
Multi-temporal deep learning approaches have exhibited excellent classification
performance in large-scale crop mapping. These approaches efficiently and automatically …
performance in large-scale crop mapping. These approaches efficiently and automatically …
Examining earliest identifiable timing of crops using all available Sentinel 1/2 imagery and Google Earth Engine
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 …
production, and earlier crop mapping can benefit decision-making related to crop insurance …