Displaying 1 - 10 of 19
![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.](/sites/default/files/styles/lis/public/2022-03/2021Fall_MSFC_BhutanAg_WebsiteImage.png.webp?itok=z2epU4rN)
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.](/sites/default/files/styles/lis/public/2022-12/2022Sum_MSFC_BhutanAgII_WebsiteImage.png.webp?itok=T2Ky1XPH)
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...
![Landsat 8 OLI derived MNDWI imagery mosaicked from October 17, 2020, to December 2, 2020. Located near the Río Patuca (Patuca River) in Ahuas, Honduras, permanent water and flood is represented as bright red and orange while blue depicts other land cover types and clouds. Examining floods from disasters like Hurricanes Eta and Iota helps decision makers improve mitigation and response efforts.](/sites/default/files/styles/lis/public/2022-03/2021Fall_MSFC_CentralAmericaDisasters_WebsiteImage.png.webp?itok=pweSILBO)
Central America Disasters (Fall 2021) Team: Caroline Williams (Project Lead), Lauren Carey, Maria De Los Santos, Deanna Fanelli, and Payton Ireland Summary: In November 2020...
![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. ](/sites/default/files/styles/lis/public/2022-11/2022Sum_PUP_MaipoRiverValleyAg_WebsiteImage.jpg.webp?itok=DiGPgMrj)
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...
![2022 Spring CO Boulder County Disasters Website Image](/sites/default/files/styles/lis/public/2022-06/2022Spring_CO_BoulderCountyDisasters_WebsiteImage.png.webp?itok=1X2GgkIw)
Boulder County Disasters (Spring 2022) Team: Sarah Hettema (Project Lead), Jennifer Rogers, Ibuki Sugiura, Erin Twaddell Summary: In recent years, record-breaking wildfire activities in the...
![Potential for land cover to change from trees to grass, forb, and herb between 1987 and 2020 in the Teton Mountain Range. Image created from LCMS land cover data which are derived from Landsat 4, 5, 7, and 8 imagery (1987 - 2020). High transition potential is depicted in yellow and low transition potential is indigo. Transition potentials help to forecast land cover and inform land managers on the locations of suitable bighorn sheep habitat.](/sites/default/files/styles/lis/public/2022-03/2021Fall_ID_GrandTetonEco_WebsiteImage.png.webp?itok=q05PkvLT)
Grand Teton Ecological Forecasting (Fall 2021) Team: Alex Posen (Project Lead), Allyson Earl, Sarah Hettema, and Michael Hitchner Summary: Grand Teton National Park provides habitat...
![Forest cover and land surface temperature (LST) around Maine's Penobscot River during Summer 2021. The shades of green distinguish between evergreen (dark) and deciduous (light) forest which were classified using Landsat 8 OLI imagery. The purple gradient corresponds to LST derived from Terra MODIS where the warmest areas, including Bangor, are white. Changing land use and warming temperatures along Maine’s rivers are associated with reducing juvenile Atlantic salmon (Salmo salar) survivorship.](/sites/default/files/styles/lis/public/2022-11/2022Sum_GSFC_MaineEcoIII_WebsiteImage.jpg.webp?itok=EiYDdUqO)
Maine Ecological Forecasting III (Summer 2022) Team: Jonathan Falciani (Project Lead), Colin Hogan, Linda Mitchell, Makario Sarsozo Summary: Shifting patterns in land use and land...
![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...
![2022 Spring PUP Mexico Disasters Website Image](/sites/default/files/styles/lis/public/2022-06/2022Spring_PUP_MexicoDisasters_WebsiteImage_v2.png.webp?itok=3ZfxI279)
Mexico Disasters (Spring 2022) Team: Philip Casey (Project Lead), John Willis, Sean Nelsen, Zachary Silberman Summary: In this project, NASA DEVELOP partnered with Mexico’s National...