Where is the USA Corn Belt, and how is it changing?
Abstract The “Corn Belt” is a commonly used term, but often referenced as a vaguely defined
region in the Midwest USA. A few key studies have delineated synoptic maps of the Corn …
region in the Midwest USA. A few key studies have delineated synoptic maps of the Corn …
Useful to usable: Developing usable climate science for agriculture
Abstract The Useful to Usable (U2U) project was a six-year research and extension project
funded by the United States Department of Agriculture to provide both useful and usable …
funded by the United States Department of Agriculture to provide both useful and usable …
High-resolution gridded soil moisture and soil temperature datasets for the Indian monsoon region
High-resolution soil moisture/temperature (SM/ST) are critical components of the growing
demand for fine-scale products over the Indian monsoon region (IMR) which has diverse …
demand for fine-scale products over the Indian monsoon region (IMR) which has diverse …
Drivers of regional soil water storage memory and persistence
Soil water storage dynamics link landscape and climate processes with consequent impacts
on hydrologic and biogeochemical cycles, and on ecosystem functions. We explore regional …
on hydrologic and biogeochemical cycles, and on ecosystem functions. We explore regional …
Utilizing collocated crop growth model simulations to train agronomic satellite retrieval algorithms
N Levitan, B Gross - Remote sensing, 2018 - mdpi.com
Due to its worldwide coverage and high revisit time, satellite-based remote sensing provides
the ability to monitor in-season crop state variables and yields globally. In this study, we …
the ability to monitor in-season crop state variables and yields globally. In this study, we …
Assessment of a long-term high-resolution hydroclimatic dataset for the US Midwest
Abstract A new, high-resolution (4 km), gridded land surface dataset produced with the Land
Information System (LIS) is introduced, and the first set of synthesis of key hydroclimatic …
Information System (LIS) is introduced, and the first set of synthesis of key hydroclimatic …
From Tradition to Transformation: Deep and Self-Supervised Learning Approaches for Remote Sensing in Agriculture and Environmental Change
M Pinto da Silva, S PLP Correa… - Nunes, Ian and dos …, 2024 - papers.ssrn.com
Abstract Deep Learning based on Remote Sensing has become a powerful tool to increase
agricultural productivity, mitigate the effects of climate change, and monitor deforestation …
agricultural productivity, mitigate the effects of climate change, and monitor deforestation …
[PDF][PDF] Data Descriptor: High-resolution gridded soil moisture and soil temperature datasets for the Indian monsoon region
High-resolution soil moisture/temperature (SM/ST) are critical components of the growing
demand for finescale products over the Indian monsoon region (IMR) which has diverse …
demand for finescale products over the Indian monsoon region (IMR) which has diverse …
The main results of a cameral inventory of protective forest plantations on agricultural land in the steppe regions of the republic of Crimea
A Kluchkina, V Tabunshchik - IOP Conference Series: Earth and …, 2021 - iopscience.iop.org
The article presents the results of a cameral inventory of protective forest plantations of a
linear type for any purpose for the steppe agricultural territories of the Crimean Peninsula in …
linear type for any purpose for the steppe agricultural territories of the Crimean Peninsula in …