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Drought is a primary driver of vegetation production, water availability, and wildfire risk on BLM-managed lands and the agency is increasingly prioritizing awareness of drought conditions in decision-making. However, the complexity of drought impacts and the size of drought datasets make selecting relevant drought indicators at the appropriate scale for planning and adaptive management decisions challenging for resource managers. To overcome these challenges, Climate Engine has partnered with the Bureau of Land Management and NOAA NIDIS (drought.gov) to produce consistent, up-to-date, and accessible drought reports for user-defined areas of interest and for all BLM-managed lands. In this video, we demonstrate the new website and walk through the drought reports so that you can start using them. ---------------------------------------------------------------------------------------------------------------- Chapters 0:00 Introduction 1:03 The BLM Drought Reports 3:02 Drought on BLM-managed Lands 4:10 Types of Drought 5:14 Drought Indices 10:26 Multi-Indicator Drought Blends 12:13 Demonstrating the BLM Drought Reports 14:56 BLM Site Characterization Reports 15:12 The Climate Engine App 15:50 Closing ---------------------------------------------------------------------------------------------------------------- Visit the Drought Reports on the Climate Engine Climate & Remote Sensing Data Reports website at reports.climateengine.org or visit the Climate Engine App at app.climateengine.org! The ClimateEngine.org Support Site can be found at support.climateengine.org. Learn more about multiscalar drought indices like the Standardized Precipitation Index (SPI) and the Evaporative Demand Drought Index (EDDI) here: https://support.climateengine.org/art... Learn more about the Multi-Indicator Drought Indices used in the Drought Reports here: https://support.climateengine.org/art... Find the support article accompanying this video here: https://support.climateengine.org/art... ---------------------------------------------------------------------------------------------------------------- #RemoteSensing #Climate #ClimateChange #LandManagement #DataScience #DataVisualization #Mapping #Geospatial --------------------------------------------------------------------------------------------------------------- 🎵 Music credits 🎵 Stardust, Jay Someday Positive Fuse, French Fuse