Program Priorities
Program Priorities
The LCLUC program priorities are aligned with the overarching goals and priorities of of NASA’s Earth Sciences Division. As a dynamic Earth System Science Research Program (ESSRP) element under the Biosphere, each call for proposals has a different emphasis but there are some common themes which recur in the LCLUC program. The combination of advanced remotely sensed monitoring and the social science aspect of land use change, sometimes referred to as the ‘human dimension’, are examples. The program focuses on priority regions of the US and globe where land use change is dynamic and has significant impact. Current program priorities include the following:
Monitoring Land Cover and Land Use Change
One of the stated program goals is to develop the capability for periodic inventory of land cover and land use from space. This goal has been largely achieved and demonstrated at global to national scales, although the transition to operational uptake remains patchy and new satellite technologies are providing improved capabilities. The approach to quantifying land cover change continues to be improved through our funded research as new instruments come on-line. The increase in the frequency of moderate resolution (30m) data; the coverage of very-high resolution data through the NASA CSDA program; and the availability of high-performance computing, machine learning and AI are enabling continuous monitoring of land cover change. The availability of fine-resolution (<5m) data is also enabling a better characterization of certain land use practices.
Method Development
With the increase in free and open sharing of satellite data, particularly through the European Copernicus Program (e.g. Sentinel 2 and Sentinel 1), the LCLUC program is interested in new methods to combine data from different sensors in analysis of land cover and land use change. Data fusion methods have been sought in the framework of the Multi-source Land Imaging (MuSLI) initiative. Such research is laying a foundation for an international constellation of moderate resolution sensors. Similarly, research is encouraged in the combined use of moderate and fine spatial resolution data (1m-3m).
The LCLUC Program management coordinates with algorithm development and testing efforts across the NASA Earth Science Division, including activities supported by the CSDA Program. Of particular relevance are algorithms used to generate higher-order products from systematic MODIS/VIIRS and Landsat observations, as LCLUC investigators frequently rely on land cover and land-change products derived from these sensors. The program leverages global archives of coarse- and moderate-resolution satellite data acquired over the past decades to advance research on land-cover and land-use change.
Following the technical issues with Landsat 7 in 2003 and prior to the launch of Landsat 8, emphasis was placed on utilizing data from other U.S. and international moderate-resolution sensors, including ASTER, EO-1, CBERS, IRS, and SPOT. With the launch of Europe’s Copernicus Programme, the availability of coarse- and moderate-resolution data expanded substantially, creating new opportunities for data integration, fusion, and interoperability research.
Recently, through CSDA, LCLUC investigators have access to commercially acquired Smallsat imagery and derived products, enabling evaluation, calibration, and integration of high-resolution commercial datasets with NASA’s moderate-resolution observations. This coordination supports cross-sensor interoperability, algorithm validation, assessment of data continuity, and the development of scalable methods that leverage both public and commercial Earth observation data to advance land-cover and land-use change research.
Within the LCLUC Program, development of new remote sensing methods is encouraged when directly responsive to LCLUC science objectives. The program continues to support: technical research on automated land classification and change detection at regional to global scales; the parameterization and validation of land-use models using remotely sensed data; and the advancement of data systems and services to improve the documentation and understanding of land-cover and land-use change.
The Impacts of Land Use Change
The LCLUC program has a priority to develop the scientific understanding of the consequences of land cover or land use changes, for example on biogeochemical cycles the hydrological cycle or human livelihoods. Recently such changes are being studied in the context of sustainability. In some regions there is an expansion of agriculture into more natural areas. In other regions there is an intensification of land use for food production. The program is interested in understanding impacts of extensification and the consequences of intensified management of agricultural, agroforestry, and grazing systems. We are also interested in measuring the longer-term degradation of forested and rangeland ecosystems. LCLUC researchers are encouraged to use both remote sensing and in-situ data, integrated with geographic information system (GIS), machine learning and AI techniques, in a manner which enables improved assessments of the impacts of land cover and land use change, the vulnerability of social systems and ecosystems, and the options for more sustainable land uses.
Modeling and Implications
It is important to develop, parameterize, and evaluate models that couple the biogeochemical and biophysical dynamics of the land surface and atmosphere. The program is interested in the links to other process studies in hydrometeorology, tropospheric chemistry, and aerosol radiative forcing to gain a better understanding of the relationship between changes in land cover, the processes that drive those changes, and biogeochemical and physical changes in the Earth's atmosphere and climate system. In addition to incorporating actual land cover and land cover change in ecosystem process models, it is important to develop models of land use change. Modeling coupled human natural systems is an important aspect of land use research. Prediction of land use change based on an understanding of the processes involved will provide an important tool for framing land management questions. Ultimately, it will be the ability to model systems undergoing land-use change that will provide tools for both scientists and decision-makers to evaluate the potential consequences of different management practices, and to assess the consequences of policies that affect land cover conversion.
New Sensing Systems
The new NASA missions are driven by the decadal survey process. The LCLUC program is interested in the development and testing of new techniques that prepare for and use the soon-to-be-available and new remotely sensed data. For example, the program is interested in LCLUC science applications of microwave systems (e.g. using the European Sentinel 1 or Canadian Radarsat Constellation) in support of the NISAR mission.
Transitioning Research to Operations
An objective of the research is to provide the scientific understanding and observational techniques required for improved management of land resources. The program is interested in seeing the science developed inform land management and related policies. To this end, the LCLUC program has an established relationship with NASA Earth Action, for example with the NASA HARVEST and NASA Acres program on agricultural land use change. Much of the underpinning science and methods used for NASA Harvest and Acres were developed in the LCLUC program. The objective of these partnerships was to demonstrate the societal relevance of LCLUC research through collaboration with operational agencies and organizations. We will strengthen these partnerships in the coming years. . At the international level the LCLUC Program has a long-standing relationship with the Global Observation of Forest Cover Global Observation of Landuse Dynamics (GOFC-GOLD) Program which started as an operational pilot project for the Integrated Global Observing Strategy (IGOS) but now serves as an interface to the end-user community in the areas of forest management, REDD+ and wildfire management. The GOFC GOLD Program has a number of regional networks providing for a forum for scientists and resource managers to share knowledge and experience. The LCLUC program is a strong supporter of the GOFC GOLD regional networks and actively participates in regional meetings, making a connection between LCLUC scientists and regional experts. The LCLUC is also actively partnering with GEO, for example in the area of agricultural land use change through the GEOGLAM Program.