Displaying 21 - 28 of 28
NDVI over Mato Grosso, Brazil processed from March 2021 Landsat-8 OLI data. Calculated NDVI values correspond with colors shown to indicate plant health. High NDVI values (green to blue) indicate dense vegetation found in tropical and temperate forests or crops at their peak growth. Low values (yellow to red) depict barren land, water, and moisture-stressed vegetation. These data can support timely and efficient agricultural responses to ensure productive yields and food security.​

Enhancing Crop Classification Mapping Using Optical and Radar Satellite Sensors to Enhance Agricultural Management and Policymaking in Mato Grosso, Brazil  

Topic
DEVELOP
Capacity Building
Agriculture
Mato Grosso Agriculture (Summer 2022) Team: Max Rock (Project Lead), Elijah Dalton, Aidan Harvey, Kate Reynolds Summary: Ranked as the fourth largest food producer in...
Chris Hain, NASA Marshall Space Flight Center

Chris Hain

Affiliation
NASA Marshall Space Flight Center
Program Role
Associate Program Manager, Water Resources and Agriculture

Christopher Hain is an Associate Program Manager in the Water Resources and Agriculture Application Areas.

Cordelia Hiers Brady, NASA HQ

Cordelia Hiers Brady

Affiliation
NASA Headquarters
Program Role
Program Coordinator, Agriculture

Cordelia Hiers Brady is the Program Coordinator for NASA’s Applied Sciences agriculture application area.

Annual max biomass calculated from 2021 daily Harmonized LandSat Sentinel-2 (HLS) dataset. Dark purple colors show low biomass while the bright orange show high biomass. Regions with high vegetation and tree canopy cover are shown in orange on the left of the image. High biomass values are of an interest to rangeland managers to help inform their grazing decisions based on which areas of the ranch produce the most biomass/vegetation.

Rangeland Monitoring to Inform Grazing Management in Eastern Colorado

Topic
DEVELOP
Capacity Building
Agriculture
Eastern Plains Agriculture (Fall 2022) Team: Jillian Joubert, Sarah Hettema, Deni Ranguelova, TR Ingram, Max Stewart Summary: Adaptive management on cattle ranches requires rangeland managers...
Farmers guide a tractor out of the mud of a large, flat expanse of rice fields in Nepal. Credit: ICIMOD, Jitendra Raj Bajracharya
Applied Sciences
Agriculture

Phone to Food: Mapping Rice in Nepal

By
Meryl Kruskopf
,
Jacob Ramthun
A Landsat 8 Operational Land Imager image of North Carolina on July 14, 2017 that shows agricultural fields

Landscape Analysis of African American farmers in North Carolina and approaches for applying NASA’s data to help prevent their extinction

Topic
Equity and Environmental Justice
Capacity Building
Agriculture
Landscape Analysis of African American farmers in North Carolina and approaches for applying NASA’s data to help prevent their extinction Team: Kibri Everett, PhD (RTI...
Applied Sciences
Capacity Building
Disasters
Agriculture

NASA Helps Ensure Success in the Insurance Industry

By
Megan Gannon, Applied Sciences Writer
Taro (kalo) field in Maui.

EO-Enabled Food Security Dashboard to Close Critical Data Gaps in Highly Food Insecure Maui County

Topic
Equity and Environmental Justice
Capacity Building
Agriculture
EO-Enabled Food Security Dashboard to Close Critical Data Gaps in Highly Food Insecure Maui County Team: Hannah Kerner (Arizona State University), Catherine Nakalembe (University of...

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