Motivated by the increasing importance of hyperspectral remote sensing data, this study sought to determine whether current-generation narrow-band hyperspectral remote sensing data could better track vegetation leaf area index (LAI) than traditional broad-band multispectral data. The study takes advantage of a unique dataset, wherein field measurements of LAI were acquired at the same general t...

The technical innovations of precise numerical radiometry, spectral differentiation and seasonally repetitive monitoring, introduced by the Landsat system, have created a new measurement approach to terrestrial monitoring. The Landsat-7 mission reflects significant progress in realizing the scientific potential of this measurement strategy. Substantial improvements in calibration procedures, bo...

* Corresponding author. Abstract – Impervious surfaces are mapped by applying regression tree classification on Landsat ETM+ data of Østfold County located in Southern Norway. Reference data consist of high precision polygon vector data of roads, parking lots and buildings for a selected region (Fredrikstad Municipality) within the study area. The output from the classification using the regres...

We evaluated the fire severity and recovery process of Latroon dry forest in Jordan following 2003 fire. A series multi-temporal Landsat-ETM + data delta normalized burn ratio (dNBR) were used to map immediately 1,5,9,13 17 years after. In addition, combined field morpho-physiological measurements, unmanned aerial vehicle (UAV) also 2020 assess recovery. Landsat-dNBR images revealed that about ...

We analyzed the relationship between Landsat ETM+ reflectance values and commercially managed loblolly pine (Pinus taeda L.) stand characteristics in east Texas. Multivariate regression techniques were used to predict age and tree density for all stands. A linear combination of NDVI, ETM4/ETM3 and the tasseled cap wetness index was a better predictor of stand age (R = 78%) than other combinatio...

The use of satellite data in forest inventories makes it possible to do a wall-to-wall mapping of forest variables. This type of raster databases with estimated forest variables provides a great potential for planning how the forest resources should be utilized, and can be used as input ecological models. There are different remote sensing methods that can be used to map forest resources. One i...

Monitoring of tropical forest is important as it plays a vital role in Global biodiversity and terrestrial carbon dynamics. Remote sensing can be effectively used to monitor the tropical vegetation. However, an operational tool for interpretation and monitoring of tropical forest has not yet well developed. Therefore, the current study aimed to generate an interpretation key and a spectral libr...

This study aims at comparing the capability of different sensors to detect land cover materials within an historical urban center. The main objective is to evaluate the added value of hyperspectral sensors in mapping a complex urban context. In this study we used: (a) the ALI and Hyperion satellite data, (b) the LANDSAT ETM+ satellite data, (c) MIVIS airborne data and (d) the high spatial resol...

Tracking the presence, distribution and disappearance of biological soil crusts is important for ecosystem management of desert regions and provides highly valuable information on desertification and climate change studies in arid environments. Based on the analysis of the spectral features of biological soil crusts, we propose a new biological soil crust index (BSCI) for biological soil crusts...