Displaying 1 - 7 of 7
![Satellite imagery allows for analysis of land cover change](/sites/default/files/styles/lis/public/2020-09/2019Spring_GA_TalamancaOsaEco_WebsiteImage.jpg.webp?itok=GeIVyVF4)
Training Type
Level
Introductory
Date
October 06, 2020 - October 29, 2020
![2022 Spring ARC California Agriculture Website Image](/sites/default/files/styles/lis/public/2022-06/2022Spring_ARC_CaliforniaAg_WebsiteImage_0.png.webp?itok=HB_A-rId)
California Agriculture (Spring 2022) Team: Rachael Ross (Project Lead), Alex Posen, Shreya Suri, Stefanie Mendoza Summary: California seeks to become a carbon neutral state by...
![2022 Spring GA Haiti Agriculture Website Image](/sites/default/files/styles/lis/public/2022-06/2022Spring_GA_HaitiAgriculture_WebsiteImage.png.webp?itok=J9cVGC4L)
Haiti Agriculture (Spring 2022) Team: Kelli Roberts (Project Co-Lead), Taylor Simkins (Project Co-Lead), Ilan Bubb, Nohemi Huanca-Nunez Summary: Haiti is one of the world’s most...
![Summer 2022 Chesapeake Bay Agriculture](/sites/default/files/styles/lis/public/2022-11/2022Sum_GFSC_ChesapeakeAg_WebImage_V2.jpg.webp?itok=oalM5vib)
Chesapeake Bay Agriculture (Summer 2022) Team: Alexia Hernandez (Project Lead), Clay Hays, Arina Morozova, Matthew Borden Summary: The Chesapeake Bay boasts some of the nation’s...
![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.](/sites/default/files/styles/lis/public/2023-02/2022Fall_CO_EasternPlainsAgr_WebsiteImage.jpg.webp?itok=StO3rYYa)
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...
![Snow persistence data were processed into snow zones from Terra MODIS 500m resolution data from 2001-2020. 2021 30m resolution rangeland biomass data from the RPMS website. RPMS data (brown and black) are derived from Landsat 5 TM, 7 ETM+, 8 OLI, and 9 OLI-2. The image displays snow persistence zones, with intermittent, transitional, and persistent snow zones in orange, light blue, and dark blue respectively. The image includes parts of the Sawatch and Elk Mountains.](/sites/default/files/styles/lis/public/2023-05/2023Spring_CO_WesternSlopeAg_Website_image.jpg.webp?itok=A7yts3_b)
Topic
Southern Rockies Western Slope Agriculture (2023 Spring) Team: Adelaide Gonzalez (Project Lead), Rachel Buchler, Max VanArnam, Stephanie Willsey Summary: Over the last decade, the southern...
![The data for this image comes from NASA satellite Landsat 8 Operational Land Imager. Normalized Difference Vegetation Index and Cropland Data Layers were used to create the image. The black, brown, and bright green specks represent the different crops growing near Wheeler Lake Watershed in North Alabama. NDVI and cropland data can be used to predict and evaluate the effects of flash drought on agricultural crops.](/sites/default/files/styles/lis/public/2023-05/2023Spring_MSFC_SoutheastUSAg_WebsiteImage.jpg.webp?itok=zZsHeQGk)
Topic
Southeast US Agriculture (2023 Spring) Team: Kindrea Gibbons (Project Lead), Michaela Gooch, Quinton Deppert, Casey Mills Summary: A flash drought refers to the rapid onset...