Satellite Imagery and Nature Conservation András Attila Takács – Tamás Lőrincz – András Révész (MoEW) 10. 06. 2006 – CEOS/WGCV-25 meeting.

Slides:

Advertisements

Similar presentations

CEOS WGISS – 25 February 25-29, 2008 Sanya, Hainan Island, China Geo-Informatics and Space Technology Development Agency (GISTDA) THEOS / Land Surface.

Advertisements

The Effectiveness of Remote Sensing Techniques in Lineament Mapping for Groundwater Exploration in Volcanic Terrains Hard-rock aquifers are only productive.

Remote Sensing. Readings: and lecture notes Figures to Examine: to Examine the Image from IKONOS, and compare it with the others.

Punta Europa, Bioko Island, Equatorial Guinea Times Series of Satellite Images 1986 through 2012 Lori Luo, Geospatial Technology, IMIS Roger Holeywell,

 Check status of ◦ Railroads ◦ Highways / Roads ◦ Bridges ◦ Dams/Waterways ◦ Ports and Harbors ◦ Airports ◦ Power Lines/Plants ◦ Emergency Facilities.

Remote Sensing & Mineral Exploration

Interpreting land surface features SWAC module 3.

Predicting and mapping biomass using remote sensing and GIS techniques; a case of sugarcane in Mumias Kenya Odhiambo J.O, Wayumba G, Inima A, Omuto C.T,

A class delivered at the 3rd IUCN World Conservation Congress

Meteorological satellites – National Oceanographic and Atmospheric Administration (NOAA)-Polar Orbiting Environmental Satellite (POES) Orbital characteristics.

Geosynchronous Orbit A satellite in geosynchronous orbit circles the earth once each day. The time it takes for a satellite to orbit the earth is called.

More Remote Sensing Today- - announcements - Review of few concepts - Measurements from imagery - Satellites and Scanners.

Forestry Department, Faculty of Natural Resources

A.K.M. Saiful Islam Associate Professor, IWFM, BUET December 2010

Introduction to Digital Data and Imagery

Remote Sensing Applications. Signatures – a unique identifier…

Ken Driese Dept. of Botany. 1. How could you assess the effect of drought on plant biomass in California? 2. How could you map sage grouse habitat in.

Carolyn J. Merry NCRST-Flows The Ohio State University.

Course: Introduction to RS & DIP

Support the spread of “good practice” in generating, managing, analysing and communicating spatial information Using Remote Sensing Imagery By: J.Verplanke,

Use of Remote Sensing Data for Delineation of Wildland Fire Effects

Remote Sensing High Resolution Satellite Systems.

Copyright © 2003 Leica Geosystems GIS & Mapping, LLC Turning Imagery into Information Suzie Noble, Product Specialist Leica Geosystems Denver, CO.

Digital Numbers The Remote Sensing world calls cell values are also called a digital number or DN. In most of the imagery we work with the DN represents.

U.S. Department of the Interior U.S. Geological Survey Multispectral Remote Sensing of Benthic Environments Christopher Moses, Ph.D. Jacobs Technology.

Remotely Sensed Data EMP 580 Fall 2015 Dr. Jim Graham Materials from Sara Hanna.

Remote Sensing with Multispectral Scanners. Multispectral scanners First developed in early 1970’s Why use? Concept: Gather data from very specific wavelengths.

The role of remote sensing in Climate Change Mitigation and Adaptation.

GeoTools 2009 Conference A Process For Mapping Shorelines and Intertidal Zones With Multitemporal LANDSAT 7 Images Process input: a series of LANDSAT images;

Resolution Resolution. Landsat ETM+ image Learning Objectives Be able to name and define the four types of data resolution. Be able to calculate the.

Slide #1 Emerging Remote Sensing Data, Systems, and Tools to Support PEM Applications for Resource Management Olaf Niemann Department of Geography University.

Remote Sensing Data Currently Available for Vector-borne Disease Modeling Penny Masuoka Uniformed Services University NASA Goddard Space Flight Center.

Generating fine resolution leaf area index maps for boreal forests of Finland Janne Heiskanen, Miina Rautiainen, Lauri Korhonen,

USFS - Region 6 Imagery Program. Landsat TM 25+ scenes downloaded from MRLC Landsat Science collection.

Geography. What is a GIS? GIS stands for Geographic Information System A tool people can use to map and analyze geographic data Organizes data by where.

Image Data Pre- processing for Pacific Island Countries Poate Degei & Litia Gaunavou.

Canopy Forest Cover Change in Fanjingshan National Nature Reserve: “What measurable environmental changes have taken place after implementing payment for.

State of Engineering in Precision Agriculture, Boundaries and Limits for Agronomy.

Satellite Band Combinations.. Bands 3, 2, 1 in red, green, blue. This is considered the natural colour composition. It is usually used primarily for display.

Data Models, Pixels, and Satellite Bands. Understand the differences between raster and vector data. What are digital numbers (DNs) and what do they.

Sub pixelclassification

The Tasseled Cap Transformation CHAPTER 11 BAND TRANSFORMATIONS

Clouds Ice cloud detection using the 8.7  m channel: areas of ice clouds (in particular thin cirrus) are red (positive difference), clear ground and water.

Geosynchronous Orbit A satellite in geosynchronous orbit circles the earth once each day. The time it takes for a satellite to orbit the earth is called.

M. Shah Alam Khan Associate Professor Institute of Water and Flood Management, Bangladesh University of Engineering and Technology Hydro-ecological Investigation.

Measuring Vegetation Health NDVI Analysis of East Sacramento 1.

REMOTE SENSING DATA Markus Törmä Institute of Photogrammetry and Remote Sensing Helsinki University of Technology

High Spatial Resolution Land Cover Development for the Coastal United States Eric Morris (Presenter) Chris Robinson The Baldwin Group at NOAA Office for.

Landsat Satellite Data. 1 LSOS (1-ha) 9 Intensive Study Areas (1km x 1km) 3 Meso-cell Study Areas (25km x 25km) 1 Small Regional Study Area (1.5 o x 2.5.

Extracting coastlines from Remote Sensing imagery

Introduction to Remote Sensing of the Environment Bot/Geog 4111/5111

Using vegetation indices (NDVI) to study vegetation

WFM 6202: Remote Sensing and GIS in Water Management

Satellite Imagery: Advantages and Disadvantages

Remote Sensing.

Satellite Image Pixel Size vs Mapping Scale

Mapping wheat growth in dryland fields in SE Wyoming using Landsat images Matthew Thoman.

Feature Extraction “The identification of geographic features and their outlines in remote-sensing imagery through post-processing technology that enhances.

Digital Numbers The Remote Sensing world calls cell values are also called a digital number or DN. In most of the imagery we work with the DN represents.

Land Cover and Soil Properties of the San Marcos Basin

EMP 580 Fall 2015 Dr. Jim Graham Materials from Sara Hanna

Spot the difference between these images?

Review of Satellite Imagery

Planning a Remote Sensing Project

Satellite Eyes Slide Show Assessment.

Image fusion Goal: Combine higher spatial information in one band with higher spectral information in another dataset to create ‘synthetic’ higher resolution.

Review of Satellite Imagery

Review of Satellite Imagery

Calculating land use change in west linn from

Presentation transcript:

Satellite Imagery and Nature Conservation András Attila Takács – Tamás Lőrincz – András Révész (MoEW) – CEOS/WGCV-25 meeting

Why does nature conservation uses satellite imagery? Extent of protected areas is diffuse

Why does nature conservation uses satellite imagery? IR band: shows properties of habitats that cannot be seen on field Structure of leafs Photosynthetic activity State of plants

SPOT images Properties: Green, red and 2 IR bands 20 m multispectral and 10 m PAN resolution

SPOT images

Until 2002 nature conservation used SPOT images: Refine the boundaries of protected areas (2000) Mapping of Ex lege areas Background data for several vegetation mapping

Landsat ETM Properties: 7 bands (blue, red, green, NIR) 30 m resolution

Usage: Maping water influenced habitats, inundiation Background image for IMS (ETM images of year 2000 (±3 years) are free) Landsat ETM

IKONOS and Quickbird VIS and IR bands 4 and 2.4 m multispectral; 1 and 0.6 m PAN resolution Just on small areas Other satellites

To support protecting, assessing, monitoring and restoring natural and semi-natural habitats we need: VIS and IR bands Resolution of 5m to 1 m Yearly recurrence Problem: Licensing BUDGET What imagery Nature Conservation needs?

Thank you very much for your audience