The following pages link to Jesslyn Brown (Q45039):
Displayed 50 items.
- Remote sensing of land surface phenology (Q60265) (← links)
- Drought Monitoring with VegDRI (Q63511) (← links)
- Integrating multisource land use and land cover data (Q81941) (← links)
- Integration of environmental simulation models with satellite remote sensing and geographic information systems technologies: case studies (Q144141) (← links)
- An analysis of IGBP global land-cover characterization process (Q144730) (← links)
- Challenges in complementing data from ground-based sensors with satellite-derived products to measure ecological changes in relation to climate – lessons from temperate wetland-upland landscapes (Q145097) (← links)
- Exploring the regional dynamics of U.S. irrigated agriculture from 2002 to 2017 (Q145994) (← links)
- Exploring VIIRS continuity with MODIS in an expedited capability for monitoring drought-related vegetation conditions (Q146120) (← links)
- Mapping irrigated lands at 250-m scale by merging MODIS data and National Agricultural Statistics (Q148733) (← links)
- Lessons learned implementing an operational continuous U.S. national land change monitoring capability: The LCMAP approach (Q149273) (← links)
- Mapping 30m irrigation extent across the United States by using a semi-automatic training approach on Google Earth Engine (Q149404) (← links)
- Seasonal land-cover regions of the United States (Q152454) (← links)
- Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data (Q153569) (← links)
- The Effects of Drought on Vegetation Phenology and Wildlife (Q160685) (← links)
- Moderate Resolution Imaging Spectroradiometer (MODIS) Irrigated Agriculture Dataset for the United States (MIrAD-US) (Q228038) (← links)
- MODIS Irrigated Agriculture (Q228039) (← links)
- Methods for Deriving Metrics (Q228558) (← links)
- Challenges in Deriving Phenological Metrics (Q228559) (← links)
- Deriving Phenological Metrics from NDVI (Q228561) (← links)
- Data Smoothing - Reducing the "Noise" in NDVI (Q228566) (← links)
- NDVI from Other Sensors (Q228567) (← links)
- NDVI from AVHRR (Q228569) (← links)
- Remote Sensing Phenology (Q228574) (← links)
- NDVI, the Foundation for Remote Sensing Phenology (Q228579) (← links)
- The integration of geophysical and enhanced Moderate Resolution Imaging Spectroradiometer Normalized Difference Vegetation Index data into a rule-based, piecewise regression-tree model to estimate cheatgrass beginning of spring growth (Q233990) (← links)
- Application-ready expedited MODIS data for operational land surface monitoring of vegetation condition (Q234774) (← links)
- Phenology and climate relationships in aspen (Populus tremuloides Michx.) forest and woodland communities of southwestern Colorado (Q235014) (← links)
- Merging remote sensing data and national agricultural statistics to model change in irrigated agriculture (Q237187) (← links)
- Assessing the evolution of soil moisture and vegetation conditions during the 2012 United States flash drought (Q238689) (← links)
- Effect of NOAA satellite orbital drift on AVHRR-derived phenological metrics (Q239516) (← links)
- Building the vegetation drought response index for Canada (VegDRI-Canada) to monitor agricultural drought: first results (Q240190) (← links)
- Remote sensing phenology (Q240799) (← links)
- Phenological classification of the United States: A geographic framework for extending multi-sensor time-series data (Q248065) (← links)
- A new approach for predicting drought-related vegetation stress: Integrating satellite, climate, and biophysical data over the U.S. central plains (Q249860) (← links)
- The Vegetation Drought Response Index (VegDRI): A new integrated approach for monitoring drought stress in vegetation (Q252876) (← links)
- A satellite-based composite index approach for agricultural drought monitoring: Current work and future directions (Q256262) (← links)
- Merging climate and multi-sensor time-series data in real-time drought monitoring across the U.S.A. (Q263281) (← links)
- Integrating satellite and climate data for U.S. drought mapping and monitoring: First steps (Q264102) (← links)
- The Vegetation Drought Response Index (VegDRI): An integration of satellite, climate, and biophysical data (Q266280) (← links)
- Investigating the effects of land use and land cover on the relationship between moisture and reflectance using Landsat Time Series (Q268857) (← links)
- Validation of national land-cover characteristics data for regional water-quality assessment (Q269931) (← links)
- Assessing the vegetation condition impacts of the 2011 drought across the U.S. southern Great Plains using the vegetation drought response index (VegDRI) (Q271341) (← links)
- Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982-2006 (Q271781) (← links)
- Measuring phenological variability from satellite imagery (Q274788) (← links)
- Temporal greenness trends in stable natural land cover and relationships with climatic variability across the conterminous United States (Q281186) (← links)
- Mapping irrigated lands across the United States using MODIS satellite imagery (Q282156) (← links)
- Issues in characterizing phenology from satellite observations (Q283365) (← links)
- Integrating growing season satellite metrics with climate data to map and monitor drought (Q283877) (← links)
- Drought and land-cover conditions in the Great Plains (Q284971) (← links)
- Conterminous United States land-cover change (1985-2016): New insights from annual time series (Q285005) (← links)