'Remotely sensed data' diaporamas de présentation

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Dr. John R. Jensen Department of Geography University of South Carolina Columbia, SC 29208

Dr. John R. Jensen Department of Geography University of South Carolina Columbia, SC 29208

Geography 551: Principles of Remote Sensing. Dr. John R. Jensen Department of Geography University of South Carolina Columbia, SC 29208. Jensen, 2007. Geography 551: Principles of Remote Sensing. Required text:. Jensen, 2007. Text used in Geography 751: Digital Image Processing.

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1.9k views • 55 slides
An Object Oriented Algorithm for Extracting Geographic Information from Remotely Sensed Data

An Object Oriented Algorithm for Extracting Geographic Information from Remotely Sensed Data

An Object Oriented Algorithm for Extracting Geographic Information from Remotely Sensed Data. Zachary J. Bortolot Assistant Professor of Geography Department of Integrated Science and Technology. BE the CHANGE. Texture-based vs. Object-based image processing. Objective:.

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512 views • 51 slides
USDA Forest Service Forest Inventory and Analysis (FIA)

USDA Forest Service Forest Inventory and Analysis (FIA)

USDA Forest Service Forest Inventory and Analysis (FIA). MRLC Land Characterization Partners Meeting Nov. 7-8, 2000. OUTLINE. Federal mandates that FIA more effectively use remote sensing FIA Business needs from satellite data Classification detail Classification accuracy

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530 views • 37 slides
Ch 5. Initial Display Alternatives and Scientific Visualization

Ch 5. Initial Display Alternatives and Scientific Visualization

Ch 5. Initial Display Alternatives and Scientific Visualization. AM www.Remote-Sensing.info. Initial Display Alternatives and Scientific Visualization. Scientists interested in displaying and analyzing remotely sensed data actively participate in scientific visualization , defined as:

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561 views • 36 slides
Why habitat/water quality models?

Why habitat/water quality models?

Why habitat/water quality models?. To map/predict current and future species assemblages, status To project future status of species and habitats under alternative management strategies, environmental conditions To explore linkages between habitat condition, water quality, and species status.

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418 views • 26 slides
Course: CSI-655 Date: May 16, 2011 Taeyoung (Jason) Choi

Course: CSI-655 Date: May 16, 2011 Taeyoung (Jason) Choi

Long-term drought assessment of Northern Central African continent using Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST). Course: CSI-655 Date: May 16, 2011 Taeyoung (Jason) Choi. Outline. Motivation Introduction Drought and indices

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292 views • 20 slides

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