منابع مشابه
Water Area Extraction Using RADARSAT SAR Imagery Combined with Landsat Imagery and Terrain Information
This paper exploits an effective water extraction method using SAR imagery in preparation for flood mapping in unpredictable flood situations. The proposed method is based on the thresholding method using SAR amplitude, terrain information, and object-based classification techniques for noise removal. Since the water areas in SAR images have the lowest amplitude value, the thresholding method u...
متن کاملEstimates of Aboveground Biomass from Texture Analysis of Landsat Imagery
Maps of forest biomass are important tools for managing natural resources and reporting terrestrial carbon stocks. Using the San Juan National Forest in Southwest Colorado as a case study, we evaluate regional biomass maps created using physical variables, spectral vegetation indices, and image textural analysis on Landsat TM imagery. We investigate eight gray level co-occurrence matrix based t...
متن کاملWater Quality Retrieval from Landsat TM Imagery
In this paper, the utility of Landsat TM imagery for water quality studies in East Texas is investigated. Remote sensing has an important and effective role in water quality management. Remote sensing satellites measure the amount of solar radiation reflected by surface water and the reflectance of water depend upon the concentration and character of water quality parameters. Three water qualit...
متن کاملAutomated Crop Type Mapping from Landsat Imagery
Knowledge of the spatial distribution of crop types is important for many environmental and human health research studies. These studies may require crop type maps over large geographical regions for multiple years, which can be derived only from satellite images. Interpretation of Landsat images using traditional image classification techniques is not feasible for such applications because of ...
متن کاملAd Hoc Modeling of Root Zone Soil Water with Landsat Imagery and Terrain and Soils Data
Agricultural producers require knowledge of soil water at plant rooting depths,while many remote sensing studies have focused on surface soil water or mechanisticmodels that are not easily parameterized. We developed site-specific empirical models topredict spring soil water content for two Montana ranches. Calibration data sample sizeswere based on the estimated variability of soil water and t...
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ژورنال
عنوان ژورنال: The Forestry Chronicle
سال: 1976
ISSN: 0015-7546,1499-9315
DOI: 10.5558/tfc52274-6