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Sarah Brennan

Sarah E. Brennan

Affiliation
NASA Headquarters
Program Role
Deputy Program Manager, Water Resources and Agriculture
Sarah Brennan is the Deputy Program Manager for NASA’s Applied Sciences water resources and agriculture application areas as an Associate with Booz Allen Hamilton.
NDVI-processed imagery using Landsat 8 OLI data from June 1 to November 31, 2021. Showing Punakha, Bhutan, vegetative areas are represented by green while black depicts non-vegetative areas. Bhutan is located in the Himalayas with altitude ranging from 550 ft. to 23,000 ft., resulting in vast diversity of both ecosystem and agricultural products. Examining vegetation area help in developing a crop mask and remotely sensed data collection protocol for rice in Bhutan.  

Developing a Crop Mask for Rice and Creating a Data Collection Protocol Utilizing Remotely Sensed Data in Bhutan

Topic
DEVELOP
Capacity Building
Agriculture
Bhutan Agriculture (Fall 2021) Team: Yeshey Seldon (Project Lead), Kusal Khandal, Sherab Dolma, and Wangdrak Dorji Summary: Rice cultivation in Bhutan has been increasingly threatened...
False-color imagery from Landsat 8 surface reflectance. The 2021 median composite image depicts the landscape and vegetation sites in the regions of western Bhutan, specifically the districts of Punakha, Wangdue Phodrang, Thimphu, and Paro. The band combination highlights fallow agriculture fields in light brown, dense urban areas in purple, forest cover in green, snow in light blue, and rocky areas in darker brown.

Creating a Graphical User Interface, Crop Mask, and Data Collection Protocol for Analysis of Rice Crop in Bhutan Using Remotely Sensed Data 

Topic
DEVELOP
Capacity Building
Agriculture
Bhutan Agriculture II (Summer 2022) Team: Wangdrak Dorji (Project Co-Lead), Tenzin Wangmo (Project Co-Lead), Karma Dorjee, Sonam S Tshering Summary: Agriculture is an essential sector...
Median daily evapotranspiration (ET) from September 2021 to May 2022 calculated from ISS ECOSTRESS data. The image covers the agricultural fields adjacent to the Maipo River, Chile and depicts water stress. The color scale ranges from red (low ET) to blue (high ET), with higher ET observed over irrigated agricultural fields. ET is used for estimating crop irrigation requirements. This data will inform irrigation management practices and help alleviate water scarcity within the area. ​

Determining Crop Coefficients Using Remote Sensing for the Maipo River Valley Basin in Chile 

Topic
DEVELOP
Capacity Building
Agriculture
Maipo River Valley Agriculture (Summer 2022) Team: Benjamin Goffin (Project Lead), Duncan Srsic, Rishudh, Sarah Carlos Summary: Agriculture is the primary use of water in...
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...
AppSci Week 2021 Header

2021 Earth Science Applications Week

August 9, 2021
August 12, 2021
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...
pregnant woman standing in a field and a woman walking with a child on a trail
Capacity Building
Agriculture

Facing Sexism in Science – How Inclusion can Overcome

By
Lia N. Poteet

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