Home- Land-Cover /
Land-Use Change
Products Overview - Land-Cover
- Vegetation Continuous Field
- Fire Disturbance
Land-Cover / Land-Use Change
Advancements in the quality and availability of many land cover and land cover change products, as well as their improved spatial and temporal coverage have enhanced the range and size of the land user community. Land products are increasingly used operationally for many applications including forecasting and change detection as well as policy and decision-making.
ESDR's Related to Land-Cover / Land-Use Change
The NASA Land-Cover/Land-Use Change Program (LCLUC) website is also a rich resource on information about international land cover projects.
Priority Measurement Initiatives for Land-Cover,
Land-Use Change, and Disturbance Products
- Land-Cover and Land-Use Change
- Long-Term Landsat time series
- Global Land Survey implementation (Phase 2/3)
- Long-Term Data Record (LTDR) AVHRR/MODIS/VIIRS consistent land cover products
- Reconciliation between land cover and continuous fields
- Land Cover Classification System (LCCS) refinement leading to a hierarchical system and augmentation for seasonal systems (wetlands and agriculture (crop type, etc.) )
- Fire
- Active Fire/Burned Area from VIIRS (data continuity)
- Fire Radiative Power research and development and validation
- Global Burned Area Validation Initiative (international - GOFC/GOLD)
Land Cover
Land Cover classification products provide crucial information about ongoing physical dynamics by identifying classes of land cover according to a pre-established scheme. Classisification schemes differ based on sensor capabilities, temporal and spatial resolution, or other defined mission criteria (Belward and Loveland 1995; Running et al. 1994; Townshend et al. 1991).
More information can be found in the Land Cover and Change ESDR white paper and the NASA Land-Cover/Land-Use Change Program (LCLUC) website.
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Vegetation Continuous Field (Percent Total Cover)
Proportional estimates of cover are developed from global training data derived using high-resolution imagery (Zhan 2000). The training data and phenological metrics are used with a regression tree to derive percent cover globally (Breiman 1993). The model is then used to estimate aerial proportions of:
1) Life form (proportion of woody vegetation, herbaceous vegetation, or bare ground);
2) Leaf type (proportion of woody vegetation that is needle leaf or broadleaf);
3) Leaf longevity (proportion of woody vegetation that is evergreen or deciduous).
More information can be found in the Vegetation Index ESDR white paper.
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Fire Disturbance
This product category encompasses a variety of fire disturbance products including, but not limited to, Active Fire, Burned Areas / Scars, and Thermal Anomalies. Burned areas are defined as areas characterized by deposits of ash and charcoal, loss of and alternation to vegetation (Roy et al. 1999). Active fire detection is accomplished through analysis of strong emissions in mid-infrared frequencies from fires (Dozier 1981; Matson and Dozier 1981).
More information can be found in the Fire ESDR white paper.
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