Burned forested areas have patterns of varying burn severity as a consequence of various topographic, vegetation, and meteorological factors. These patterns are detected and mapped using satellite data. Other ecological information can be abstracted from satellite data regarding rates of recovery of vegetation foliage and variation of burn severity on different vegetation types. Middle infrared...

Irrespective of several attempts to land use/cover mapping at local, regional, or global scales, mapping of vegetation physiognomic types is limited and challenging. The main objective of the research is to produce an accurate nationwide vegetation physiognomic map by using automated machine learning approach with the support of reference data. A time-series of the multi-spectral and multi-indi...

Leaf inclination angle distribution is an important canopy structure characteristic which directly impacts the fraction of the intercepted solar radiation. Together with the leaf area index (LAI) it determines the structure and fractional cover of a homogeneous crop canopy. Unfortunately, this key canopy parameter has usually been ignored when applying common multispectral vegetation indices to...

Chlorophyll mapping of vegetation by remote sensing band ratio algorithms has been one of the primary research aspects since its inception as it is the fundamental pigment which is responsible for photosynthesis in plants. A new three channel band ratio algorithm is proposed in the present research for the nondestructive measurement of crop chlorophyll content. The algorithm takes into account ...

As band widths are narrow and range of spectra is wide, subtle differences in spectral features can be extracted and used for mapping physical and chemical properties of bare substrate with imaging spectroscopy. However, the use of spectral characteristics of substrates is not accessible if substrate was covered by vegetation. In this study, we explored the feasibility of extracting karst ecoen...

This article describes the application of a neural netsessment, fire control, wildlife habitat characterization, and water quality monitoring. In this context, a number work method designed to improve the efficiency of map of federal and state agencies as well as private companies production from remote sensing data. Specifically, the with large land holdings currently use vegetation maps ARTMA...

Land managers need cost-effective methods for mapping and characterizing forest fuels quickly and accurately. The launch of satellite sensors with increased spatial resolution may improve the accuracy and reduce the cost of fuels mapping. The objective of this research is to evaluate the accuracy and utility of imagery from the advanced spaceborne thermal emission and reflection radiometer (AST...

eurotia ceratoides (l.) c. a. mey is an important plant species in semi-arid landsin iran. new approaches are required to determine the distribution of this plant species. forthis reason, geographical distributions of eurotia ceratoides were assessed using threedifferent models including: multiple discriminant analysis (mda), ecological niche factoranalysis (enfa) and logistic regression (lr). ...

Accurate, current, and cost-effective fire fuel data are required by management and fire science communities for use in reducing wildland fire hazards over large areas. In this paper we present results of applying decision-tree techniques to mapping vegetation parameters (such as vegetation types and canopy structure classification) required for fire fuel characterization. Specifically, we pres...