Regional network activities

Transcription

1 Regional network activities Olga N. Krankina Oregon State University with contributions from Erik Lindquist (OSFAC) Dominick Kwesha (Miombo) Gerardo Lopez (RedLatif) 10/17/2008 Olga N. Krankina, OSU 1

2 OSFAC: Observatoire Satellital des Forêts d Afrique centrale Proposed a GOFC-GOLD network for Central Africa in 2000 to promote operational forest monitoring in the Congo Basin Secretariat obtained legal recognition as an NGO in DRC in OSFAC operates with 7 full-time staff and maintains a RS/GIS lab within the School of Agronomy at the University of Kinshasa Receives technical backstopping and financial support from NASA, UMD and SDSU through USAID-funded Central African Regional Program for the Environment 17/10/2008 Olga N. Krankina, OSU 2

3 Decadal Forest Change Mapping Project Create forest cover and forest cover change maps that provide a baseline for future monitoring of forest resources in the Congo Basin. Joint effort of the University of Maryland (UMD), South Dakota State University (SDSU), and NASA/Goddard Space Flight Center. Mapping is an automated process that uses high resolution Landsat Thematic Mapper datasets. Forest change mapping began with the CARPE landscapes, but has now been completed across the Basin for circa 1990 to circa Circa 2000 to circa 2005 forest change mapping is underway. Goal of this project is to not only produce the baseline dataset, but also to transfer capacity for forest monitoring, as well as producing and applying related products, to the region. 17/10/2008 Olga N. Krankina, OSU 3

4 DFCM dataset (circa 1990 to circa 2000) 17/10/2008 Olga N. Krankina, OSU 4

5 17/10/2008 Olga N. Krankina, OSU 5

6 Miombo Collaborations in Southern Africa Dominick Kwesha Director - Centro de Informação Geográfica e Ambiente Universidade Católica de Moçambique dkwesha@ucm.ac.mz or dkwesha2001@yahoo.co.uk 6

7 Map Product for the period showing Forest/Non-Forest Classes by the Miombo Network. Land Cover maps based on Landsat - not available for Zambia, Angola and DRC 7

8 8

9 Land cover / Land use future activities Creation of MODIS monthly surface reflectance composites at 250m, based on DB data from receiving stations in Argentina, Brazil and Mexico. Collection of training data from national/regional land cover maps. Classification using decision tree approach 17/10/2008 9

10 MOD09, monthly composite, April /10/

11 Classification result modified Anderson legend (Anderson et al., 1976) Broadleaved forest Cropland low high Shrubland Barren Herbaceous Urban and built-up Wetland Water 17/10/

12 Global Observation of Forest and Land Cover Dynamics

13 (Northern Eurasia Landcover Dynamics Analysis) 17/10/2008 Olga N. Krankina, OSU 13

14 NELDA (Northern Eurasia Landcover Dynamics Analysis) Objectives Characterize land cover and its change across boreal and temperate Northern Eurasia Develop methods, data, and collaborations needed to monitor future changes Tasks Cross-compare and validate coarse-resolution land cover products Establish a network of test sites Produce a new, updated land cover map for Northern Eurasia based on MODIS data The Team US investigators and collaborators (OSU, GSFC, BU, UMD) Collaborators in Northern Eurasia region (6 research centers) 10/17/2008 Olga N. Krankina, OSU 14

15 Land Cover of Northern Eurasia GLC2000 MODIS-PFT /17/2008 Olga N. Krankina, OSU 15

16 Similarity matrix for the GLC2000 and MODIS-PFT legends GLC-2000.LCCS (rows) MODIS.PFT (columns) Needleleaf evergreen tree Broadleaf evergreen tree Needleleaf deciduous tree Broadleaf deciduoud tree Shrub Grass Cereal crop Broadleaf crop Urban and built-up Snow and ice Barren or sparsely vegetated Water 1 Tree Cover, broadleaved, evergreen T T T T ts th th th tb tb tb lw 2 Tree Cover, broadleaved, deciduous, closed T T T T ts th th th tb tb tb lw 3 Tree Cover, broadleaved, deciduous, open T T T T ts th th th tb tb tb lw 4 Tree Cover, needle-leaved, evergreen T T T T ts th th th tb tb tb lw 5 Tree Cover, needle-leaved, deciduous T T T T ts th th th tb tb tb lw 6 Tree Cover, mixed leaf type T T T T ts th th th tb tb tb lw Tree Cover, regularly flooded, fresh water Tree Cover, regularly flooded, saline water Mosaic: Tree cover / Other natural vegetation T T T T ts th th th tb tb tb lw T T T T ts th th th tb tb tb lw T T T T S H th th tb tb tb lw 10 Tree Cover, burnt T T T T ts th th th tb tb tb lw 11 Shrub Cover, closed-open, evergreen ts ts ts ts S sh sh sh sb sb sb lw 12 Shrub Cover, closed-open, deciduous ts ts ts ts S sh sh sh sb sb sb lw 13 Herbaceous Cover, closed-open th th th th sh H H H hb hb hb lw 14 Sparse Herbaceous or sparse shrub cover tb tb tb tb sb hb hb hb B B B lw 15 Regularly flooded shrub and/or herbaceous cover ts ts ts ts S H H H hb hb hb lw 10/17/ Cultivated and managed areas Olga th N. Krankina, th th th OSU sh H H H hb hb hb lw Mosaic: Cropland / Tree Cover / Other natural vegetation T T T T S H H H hb hb hb lw

17 10/17/2008 Olga N. Krankina, OSU 17

18 Agreement in dominant vegetation cover (54%) 10/17/2008 Olga N. Krankina, OSU 18

19 17/10/2008 Olga N. Krankina, OSU 19

20 MSS 1976 TM 1992 TM 1994 ETM ETM ETM (slc-off) 10/17/2008 Olga N. Krankina, OSU 20

21 Land Cover for St. Petersburg site (yr 2002) Accuracy 69% Kappa /17/2008 Olga N. Krankina, OSU 21

22 10/17/2008 Olga N. Krankina, OSU 22

23 Land cover maps for test sites Komi St. Petersburg 10/17/2008 Olga N. Krankina, OSU 23

24 NELDA user's NELDA user's trees shrubs herbs barren water accuracy trees shrubs herbs barren water accuracy GLC-2000 trees 11,801 1,096 1, % MODIS trees 12,430 1,424 1, % shrubs % shrubs % herbs % herbs , % barren % barren % water , % water , % producer's accuracy 94.8% 0.1% 31.8% 29.3% 84.3% 75.3% producer's accuracy 95.6% 5.0% 36.4% 17.3% 81.0% 72.0% kappa = 50.7% kappa = 47.5% 17/10/2008 Olga N. Krankina, OSU 24

25 17/10/2008 Olga N. Krankina, OSU 25

26 Objectives: - Add new test sites to the network - Synthesis of results among sites -cross-site comparison of rates of change at the Landsat resolution -evaluation of explanatory variables for observed patterns of change among sites 17/10/2008 Olga N. Krankina, OSU 26

27 Conclusions Regional networks lead and plan several major land cover mapping activities They differ in their emphasis and approach Provide templates for other networks to use Networks are interested in supporting Land Cover Product Validation Initiative (LC IT) The application of LCCS requires additional support 10/17/2008 Olga N. Krankina, OSU 27

28 Any Questions? 10/17/2008 Olga N. Krankina, OSU 28