Burning questions for a warming and changing world: 15 unknowns in plant abiotic stress

PE Verslues, J Bailey-Serres, C Brodersen… - The Plant …, 2023 - academic.oup.com
We present unresolved questions in plant abiotic stress biology as posed by 15 research
groups with expertise spanning eco-physiology to cell and molecular biology. Common …

[HTML][HTML] A review of globally available data sources for modelling the Water-Energy-Food Nexus

JW Lodge, AP Dansie, F Johnson - Earth-Science Reviews, 2023 - Elsevier
Abstract The Water-Energy-Food Nexus (WEFN) is gaining attention as an important
approach to manage resources more holistically. Data availability, however, is a crucial …

Increasing risk of simultaneous occurrence of flash drought in major global croplands

SS Mahto, V Mishra - Environmental Research Letters, 2023 - iopscience.iop.org
Simultaneous occurrence of flash drought in major croplands can pose challenges for global
food security. However, drivers of flash drought co-occurrence in the observed and future …

Quantifying the accuracies of six 30-m cropland datasets over China: A comparison and evaluation analysis

C Zhang, J Dong, Q Ge - Computers and Electronics in Agriculture, 2022 - Elsevier
With the development of remote sensing technology, more and more fine-resolution
cropland datasets have emerged as powerful tools for agriculture planning and food security …

[HTML][HTML] WorldCereal: a dynamic open-source system for global-scale, seasonal, and reproducible crop and irrigation map**

K Van Tricht, J Degerickx, S Gilliams… - Earth System …, 2023 - essd.copernicus.org
The challenge of global food security in the face of population growth, conflict, and climate
change requires a comprehensive understanding of cropped areas, irrigation practices, and …

[HTML][HTML] A 30 m annual cropland dataset of China from 1986 to 2021

Y Tu, S Wu, B Chen, Q Weng, Y Bai… - Earth System …, 2024 - essd.copernicus.org
Accurate, detailed, and up-to-date information on cropland extent is crucial for provisioning
food security and environmental sustainability. However, because of the complexity of …

[HTML][HTML] An interannual transfer learning approach for crop classification in the Hetao Irrigation district, China

Y Hu, H Zeng, F Tian, M Zhang, B Wu, S Gilliams, S Li… - Remote Sensing, 2022 - mdpi.com
Crop type classification is critical for crop production estimation and optimal water allocation.
Crop type data are challenging to generate if crop reference data are lacking, especially for …

Remote sensing of the Earth's soil color in space and time

R Rizzo, AMJC Wadoux, JAM Demattê… - Remote Sensing of …, 2023 - Elsevier
Soil color is a key indicator of soil properties and conditions, exerting influence on both
agronomic and environmental variables. Conventional methods for soil color determination …

Cropland expansion in Ecuador between 2000 and 2016

JI Ochoa-Brito, A Ghosh, RJ Hijmans - Plos one, 2023 - journals.plos.org
We describe changes in the cropland distribution for physiographic and bioregions of
continental Ecuador between 2000 and 2016 using Landsat satellite data and government …

Evaluation of Maximum Entropy (Maxent) machine learning model to assess relationships between climate and corn suitability

A Fitzgibbon, D Pisut, D Fleisher - Land, 2022 - mdpi.com
Given the impact that climate change is projected to have on agriculture, it is essential to
understand the mechanisms and conditions that drive agricultural land suitability. However …