Regional Scale Forest Mapping with Medium Resolution Satellite Data Dmitry E. Aksenov Elena S. Esipova Natalia V. Kuksina Mikhail L. Karpachevsky.

Slides:

Advertisements

Similar presentations

Land Evaluation of Trahtemyrivsky Hunting Reserve Land Evaluation of Trahtemyrivsky Hunting Reserve Against Key Game Species Distribution Criteria Using.

Advertisements

Forest datasets provide by Umbria Region Regione dellUmbria Servizio Programmazione Forestale, Faunistico-venatoria ed Economia montana Dott. For. F. Grohmann.

Case study - Chuchloma FMU, Kostroma region, Russia Chumachenko S.I., Moscow State Forest University Korotkov V.N., All-Russian Research Institute for.

Satellite data products to support climate modelling: Phenology & Snow Cover Kristin Böttcher, Sari Metsämäki, Olli-Pekka Mattila, Mikko Kervinen, Mika.

An inventory of trees on our property.. Deciduous Forest Deciduous trees have leaves and they lose their leaves in the winter.

Trees and Forests – Tree Types Science 6. Tree Types There are many thousands of different kinds of trees but all true trees are separated into two (2)

U.S. Department of the Interior U.S. Geological Survey USGS/EROS Data Center Global Land Cover Project – Experiences and Research Interests GLC2000-JRC.

Reserves and Density of Organic Carbon in Russian Forests Anatoly Utkin, Dmitry Zamolodchikov, Georgy Korovin and Olga Chestnykh 4. C phytomass and forest-forming.

Applications Division CANADA CENTRE FOR REMOTE SENSING Natural Resources Canada GLC 2000 Land Cover Database of North America Workshop GLC 2000 “Final.

Galina N. Fet Image Processing for Conifer Forest Detection in Tien-Shan Mountains. Marshall University, Department of Physical Sciences.

Toward Near Real Time Forest Fire Monitoring in Thailand Honda Kiyoshi and Veerachai Tanpipat Space Technology Applications and Research, School of Advanced.

FACTS: TYPES OF FORESTS: Soft wood 66% of Canada’s forest cover Fir, Pine, Spruce Hard wood 12% of Canada’s forest cover Poplar, Maple, Birch The other.

AA_Vis_1. Students examine both the “true color” And “false-color Infrared” images provided by GLOBE AA_Vis_2.

Canada’s Forestry Industry

Is a big Renewable Natural resource business. It has important products, jobs and environmental concerns.

Module 2.2 Monitoring activity data for forests remaining forests (incl. forest degradation) REDD+ Sourcebook training materials by GOFC-GOLD, Wageningen.

Forest site in Järvselja, Estonia: Summary of ground-based LAI measurements Tiit Nilson, Tartu Observatory.

Remote sensing is up! Inventory & monitoring Inventory – To describe the current status of forest Landcover / landuse classification Forest structure /

Published in Remote Sensing of the Environment in May 2008.

Forestry Department, Faculty of Natural Resources

Landscape-scale forest carbon measurements for reference sites: The role of Remote Sensing Nicholas Skowronski USDA Forest Service Climate, Fire and Carbon.

I. Coniferous Forests A. Climate/defintion 1. Coniferous means cone-bearing do coniferous forests are made of cone- bearing trees 2. Have needle like.

1 Lectures 11 Analysis and Classification of Digital MSS Data 21 October 2008 Today’s Lecture will be given by Dr. Tatiana Loboda, a Research Scientist.

Avery Gilks. The average temperature in the boreal forest ranges from 5 degrees Celsius to - 5 degrees Celsius. These forests receive anywhere from 20cm.

Status for Development of Activity Data and Detecting Degradation of Forest in Laos June 17th 2015 Dr. Ryota KAJIWARA Kokusai Kogyo Co., Ltd. NFIS and.

Fractional snow cover estimation in the complex alpine-forested areas using MODIS and Landsat Elzbieta Czyzowska – Wisniewski research conducted under.

Dr. Florian Siegert, RSS - Remote Sensing Solutions GmbH, München The role of Remote sensing in monitoring land cover and impacts on peatlands.

Hiroshi Sasakawa Ph. D. Japan Forest Technology Association Remote sensing expert JICA Project in Gabon International Symposium on Land Cover Mapping for.

A METHODOLOGY TO SELECT PHENOLOGICALLY SUITABLE LANDSAT SCENES FOR FOREST CHANGE DETECTION IGARSS 2011, Jul, 27, 2011 Do-Hyung Kim, Raghuram Narashiman,

Using spectral data to discriminate land cover types.

1 Global Connections: Forests of the World Activity 2 What is a Forest?

FAO Actions Related to GFOI Components. FAO history in forest monitoring and assessment Began in 1946 focused on commercial timber Activities involving.

National Mapping Division EROS Data Center U. S. Geological Survey U.S. Geological Survey Earth Resources Operation Systems (EROS) Data Center World Data.

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

Winter precipitation and snow water equivalent estimation and reconstruction for the Salt-Verde-Tonto River Basin for the Salt-Verde-Tonto River Basin.

Forest Fires in Europe: an overview Paulo Barbosa Joint Research Centre – European Commission Institute for Environment and Sustainability Ispra.

Forestry. Coniferous: cone bearing trees that keep their leaves all year round. Examples include Spruce and Pine. Coniferous trees account for 63% of.

Chapter 10: Forest and Mineral Resources Note: WE ARE NOT COVERING MINERAL RESOURCES.

Forestry. What do we use forests for? An Older View of Canadian Forestry

Leaf Area Index for Fire Chronosequences in Siberian Boreal Forest PI: Don Deering, NASA GSFC CO-I: Slava Kharuk, Sukachev Institute of Forest Research.

FORESTRY TEST BASICS. How To Measure the Diameter of a Tree? Stand next to the trunk (if on an non-level slope – then stand on the uphill side of the.

PRESENT KNOWLEDGE OF FOREST ECOSYSTEM CARBON IN RUSSIA AND PROBLEMS OF ITS IMPROVING by Vladislav Alexeyev Maxim Markov Boris Rybinin Michael Tarasov Pavel.

Assessing the Phenological Suitability of Global Landsat Data Sets for Forest Change Analysis The Global Land Cover Facility What does.

Ecology Coniferous & Deciduous Forest Forest Misc Deciduous Confierous Types Misc Q $100 Q $200 Q $300 Q $400 Q $500 Q $100 Q $200 Q $300 Q $400 Q $500.

Northern Michigan Forest Productivity Across a Complex Landscape David S. Ellsworth and Kathleen M. Bergen.

1 4.6 Utilization of Forest Resources By Lester Green Smallwood Academy Gambo.

Test of forest classification over Bavaria (Germany) using a SPOT-VGT pixel mosaic Erwann FILLOL, Pamela KENNEDY, Sten FOLVING.

Commercial High Resolution Sensors SatelliteResolutionSwath Width Pricing (%$USD)Applications Quickbird-20.61m Pan 2.44m MS 16.5 kmNew:$22/km 2 (min 64km.

Comparing Three Great Lakes Research Projects By Mary Bresee.

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

Forest Knowledge Know-how Well-being State of Finland’s Forests 2012 Based on the Criteria and Indicators of Sustainable Forest Management.

A Remote Sensing Sampler. Typical reflectance spectra Remote Sensing Applications Consultants -

Forestry In Canada.

Realities of Satellite Interpretation (The things that will drive you crazy!) Rachel M.K. Headley, PhD USGS Landsat Project.

Land Biomes of the World Chapter 6. Earth’s Major Biomes Tundra.

Canada’s Forests Textbook Chapter Types of Trees (Review) Coniferous Trees (Trees With Needles) Examples?__________.

Canada’s Forests – Chapter 25. Forest Facts Forests cover 42% of Canada’s land. Three types of forests in Canada  Softwood forests – 66% of Canada’s.

The Global Land Cover Facility BRAZIL ARGENTINA PARAGUAY Forest Nonforest Deforestation Water Protected Area Cloud Forest Cover Change Eastern Paraguay.

FOREST MANAGEMENT SYSTEMS Learning Goal: to be able to use appropriate terminology relating to forestry practices.

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.

Forest Carbon Calculator Forest Carbon Reporting Initiative of USAID’s Global Climate Change Program Nancy Harris, Winrock International Sandra Brown,

Global Landcover and Disturbance Analysis NRSM 532 BIOS 534

Geography of Canada Adapted by S. Kopyto

FORESTS IN POLAND AND EUROPE.

Funding: National Park Service, U.S.G.S.

FOREST MANAGEMENT SYSTEMS

Geography of Canada Adapted by S. Kopyto

Starter Task: Why are forests important? List at least 3 reasons and explain. Extension Task: Is it also important that we harvest forests for the economy?

Mats Nilsson Department of Forest Resource Management and Geomatics,

Big data for Global Change Ecology (Biogeography)

Presentation transcript:

Regional Scale Forest Mapping with Medium Resolution Satellite Data Dmitry E. Aksenov Elena S. Esipova Natalia V. Kuksina Mikhail L. Karpachevsky

Minimum set of information includes: Forest cover Dominant tree species Age of the upper canopy Productivity / growing stock estimation

Options for the forest cover and tree species: Modis data (like UMD TreeCover) + official forest survey data (lesoustroistvo) Landsat TM/ETM+ classification IRS-P6 AWiFS classification

Example of Landsat ETM+

dark coniferous (spruce, fir) pine mixed deciduous – dark coniferous deciduous (birch, aspen) cleacuts fire scars...and its classification by tree species

IRS-P6 AWiFS

Retrospective data allow age classification ~2000 Landsat ETM+ GLCF ~1990 Landsat TM GLCF ~1980 Landsat MSS GLCF 2007 Landsat TM IRS-P6 AWiFS ScanEx <1980 clearcuts in Landsat MSS Change detection MSS-TM Change detection TM-ETM+ Change detection ETM+-AWiFS MSS classification

Landsat MSS (~1980)

Landsat TM (~1990)

Change detection MSS-TM

Landsat TM (~1990)

Landsat ETM+ (~2000)

Change TM-ETM+

Logging of

Productivity / growing stock is still a problem NDVI in combination with official data? Radar data for sparse forests? Landsat imagery classification in combination with ground data (kNN-method)?

Kirov Oblast Mapping ( ) ~2000 Landsat ETM+ GLCF ~1990 Landsat TM GLCF ~1980 Landsat MSS GLCF 2007 Landsat TM IRS-P6 AWiFS ScanEx <1980 clearcuts in Landsat MSS Change detection MSS-TM Change detection TM-ETM+ Change detection ETM+-AWiFS MSS classification + Landsat ETM+ classification for tree species

European Russia Mapping ( ) ~2000 Landsat ETM+ GLCF ~1990 Landsat TM GLCF ~1980 Landsat MSS GLCF 2006 Modis <1980 clearcuts in Landsat MSS Change detection MSS-TM Change detection TM-ETM+ Change detection Modis MSS classification + UMD Treecover Forest of the USSR (1990) Modis classification (Bartalev et al.)

European Russia Mapping (plans for 2008) ~2000 Landsat ETM+ GLCF ~1990 Landsat TM GLCF ~1980 Landsat MSS GLCF 2007 Landsat TM IRS-P6 AWiFS ScanEx <1980 clearcuts in Landsat MSS Change detection MSS-TM Change detection TM-ETM+ Change detection ETM+-AWiFS MSS classification + IRS-P6 AWiFS classification for tree species

Logging sustainability Planting Natural reforestation clearcuts selective logging forest fires pest outbreaks Forest resources Economically unavailable forests: - remote areas; - low-productive stands; - environmental limitations; - protected areas

MSS-TM-ETM+ change detection Northern Kirov Oblast

Lamdsat MSS, ~1980

Landsat TM, ~1990

Landsat ETM+, ~2000

non-forest areas clearcuts 1990 – 2000 ther forest clearcuts

non-forest areas clearcuts 1980 – 2000 гг. other forest

non-forest lands clearcuts 1980 – 2000 other forest old coniferous