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In a broad sense, land management is the monitoring of land cover and use over time, observing its behavior, changes, or issues, and responding to those things with trackable plans of action to achieve goals. For example, cropland may be methodically expanded over time by planners to feed a growing population of people while also carefully preserving nearby critical habitats for animals. Land management can involve employing, preventing, and stopping wildfire to care for land and how it is used. Or it can cross over into preventing illegal logging, deforestation, and the theft of other natural resources. The topic touches on many other subjects including ecology, plant and creature variation in areas, land ownership and boundaries, and human use of land.

NASA has a large number of land datasets researchers, technical professionals, and decision-makers can use to assess and understand what's literally happening on the ground. These data can range from satellite scans of Earth's vegetation using the Moderate Resolution Imaging Spectroradiometer (MODIS) to snow depth data measured by a volunteer citizen scientist in a mountainous community. Individually and combined, NASA's land management data can provide users with the details they need to accurately understand the current state of land and make the best decisions in response to its condition.

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Landsat 9 first light image"
Landsat 9 to Provide a Wealth of Data to the Longest Continuous Global Record of Earth Imagery
Launched Sept. 27, 2022, Landsat 9 will provide a high-quality and reliable stream of land imaging data for the next 10-plus years.
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A Harmonious New Dataset
The provisional public release of the Harmonized Landsat Sentinel-2 (HLS) dataset opens new avenues for global terrestrial research.
Headshot of Dr. Kyla Dahlin, Associate Professor, Michigan State University, Department of Geography, Environment, & Spatial Sciences, Program in Ecology, Evolution, and Behavior
Data User: Dr. Kyla Dahlin
Data from NASA’s ORNL DAAC help Dr. Kyla Dahlin better understand how remote sensing can improve predictive ecological models.
Photograph of range land near the Charles M. Russell Wildlife Refuge in Central Montana. 
Predicting Productivity: Managing Land from Space
Remote sensing and meteorological data help forecast the health of a landscape.
Discover and Visualize Land Management Data
NASA data help us understand Earth's changing systems in more detail than ever before, and visualizations bring these data to life, making Earth science concepts accessible, beautiful, and impactful.
Data visualization is a powerful tool for analysis, trend and pattern recognition, and communication. Our resources help you find world-class data visualizations to complement and enhance your research. We also have tools and tutorials to help you translate land management data into compelling visuals.
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ASTER GDEM data of the area surrounding Lhasa on the Tibetan Plateau with color and hillshade applied.
Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Digital Elevation Model (GDEM) data with color and hillshade applied of the area surrounding Lhasa on the Tibetan Plateau. Treelines in this area have one of the highest elevation ranges on the plateau (4,201-4,900 meters/13,783-16,076 feet).

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