This paper presents a semi-automatic procedure to discriminate seasonally flooded areas in the shallow temporary marshes of Doñana National Park (SW Spain) by using a radiommetrically normalized long time series of Landsat MSS, TM, and ETM+ images (1974–2014). Extensive field campaigns for ground truth data retrieval were carried out simultaneous to Landsat overpasses. Ground truth was used as ...

Landsat Thematic mapper (TM) image has long been the dominate data source, and recently LiDAR has offered an important new structural data stream for forest biomass estimations. On the other hand, forest biomass uncertainty analysis research has only recently obtained sufficient attention due to the difficulty in collecting reference data. This paper provides a brief overview of current forest ...

This paper presents a comparison between L-band HH JERS-1 SAR and Landsat TM data for land cover assessment in an Amazonian test site. For this, a study area located in the south of Rondônia State, western Brazilian Amazonia, was selected. The Landsat TM data acquired on August 1 1997 were converted to vegetation, soil, and shade fraction images, using a Linear Spectral Mixing Model. These frac...

Urban greenspace is important for the health of cities. Up-to-date databases and information are vital to maintain and monitor growth in cities. During the last decade, advances in spaceborne hyperspectral sensors have resulted in some advantages being gained over multispectral sensors for land cover monitoring (due to increased spectral resolution). The objective of this research was to compar...

Two different estimation methods to estimate the tree species proportions of forest stands were compared using ERS-1/2 and Landsat TM images as test data. Overall, the estimation method based on the pixelwise classification performed better than neural network method because the differences between the results acquired with training and test sets were smaller. The best results were got using da...

A time series of 23 Landsat Thematic Mapper (TM) band 6 thermal infrared images over the period 1986–1996 is used to quantify variability of sea surface temperature (SST) along the central coast of Maine, a morphologically complex region of bays, estuaries, and islands. An iterative regression scheme using coregistered, temporally coincident, daily composites of Advanced Very High Resolution Ra...

Operational monitoring of vegetation and land surface change over large areas can make good use of satellite sensors that measure radiance reflected from the Earth’s surface. Monitoring programs use multiple images for complete spatial coverage over time. Accurate retrievals of vegetation cover and vegetation change estimates can be hampered by variation, in both space and time, in the measured...

Impervious surface area (ISA) is a key factor for monitoring urban environment and land development. Automatic mapping of impervious surfaces has attracted growing attention in recent years. Spectral built-up indices are considered promising to map ISA distributions due to their easy, parameter-free implementations. This study explores the potentials of impervious surface indices for ISA mappin...