1 The original use of remote sensing using infrared photography for yield variation was conducted by Colwell (1956). Since the launch of the Landsat 1 imaging satellite in 1972 (Mulla, 2013), satellite imagery has been widely used in agriculture for yield prediction and most lately for site-specific N management. Bhatti et al. (1991) used Landsat imagery and auxiliary data to estimate wheat yie...

Classification is an important field with many applications. In particular, the classification of digital imagery has important applications in the mapping community. In this paper the authors compare five different classification methods on LANDSAT imagery of Australia and multispectral imagery of south-central Virginia: support vector machines, neural networks, nearest-neighbor, discriminant ...

[1] Irrigated crop production in the Texas high plains (THP) is dependent on water extracted from the Ogallala Aquifer, an area suffering from sever water shortage. Water management in this area is therefore highly important. Thermal satellite imagery at high temporal ( daily) and high spatial ( 100 m) resolutions could provide important surface boundary conditions for vegetation stress and wat...

The U.S. Geological Survey has produced the Landsat Burned Area Essential Climate Variable (BAECV) product for the conterminous United States (CONUS), which provides wall-to-wall annual maps of burned area at 30 m resolution (1984–2015). Validation is a critical component in the generation of such remotely sensed products. Previous efforts to validate the BAECV relied on a reference dataset der...

Knowledge of seedling regeneration in burn sites is a valuable aspect of ecosystem monitoring. Remote sensing methods are ideal for such monitoring since large spatial extents can be monitored at multiple time scales. The goal of this project was to asses how well hyperspectral AVIRIS data can discriminate the differences between seedling densities in postfire regenerating sites, as compared to...

Continuous monitoring of forest cover condition is key to understanding the carbon dynamics of forest ecosystems. This paper addresses how to integrate single-year airborne LiDAR and time-series Landsat imagery to derive forest cover change information. LiDAR data were used to extract forest cover at the sub-pixel level of Landsat for a single year, and the Landtrendr algorithm was applied to L...

The Statewide Landcover and Trees Study (SLATS) is currently in the process of mapping woody change across the State of Queensland for the era 1999 to 2001. SLATS covers such a large area that Landsat Thematic Mapper (TM) imagery was chosen as the most effective data for this purpose. Since 1995 the woody change in Queensland has been mapped every two years. The 1999 to 2001 change era is the f...

10 11 The major problem with high spatial resolution satellite images from Landsat 7 is that 12 imagery is not available very often (i.e. every 16 days or longer) and the coverage area is 13 relatively small (swath width 185km), while images of lower spatial resolution from MODIS are 14 available daily and one image covers a relatively large area (swath width 2,330km). This paper 15 considers t...

Most vertebrate fossils are rare and difficult to find and although paleontologists and paleoanthropologists use geological maps to identify potential fossil-bearing deposits, the process of locating fossiliferous localities often involves a great deal of luck. One way to reduce the role of serendipity is to develop predictive models that increase the likelihood of locating fossils by identifyi...