Ten ways remote sensing can contribute to conservation

Transcription

1 Ten ways remte sensing can cntribute t cnservatin (Identifying the Tp 10 Cnservatin Questins that Can Be Answered Thrugh Remte Sensing Technlgies) Rbert A Rse, Healy Hamiltn, Ned Hrning, Allisn Leidner, Wdy Turner, Martin Wegmann and lts f thers peple

2 The Wildlife Cnservatin Sciety saves wildlife and wild places wrldwide.

3 WCS Prtfli f Scapes

4 Glbal Pririty Species

5 Remte Sensing at a Cnservatin NGO Lng histry f great RS research fcused n cnservatin Has nt necessarily trickled dwn t the practice f cnservatin Basic applicatins LULCC Sme mdeling wrk Habitat suitability mdels thers N brad capacity fr remte sensing Have dne a gd jb develping GIS capacity (almst 200 peple using ArcGIS) Fallen behind in RS capacity (abut 10 using any RS tls) Hard t dedicate research t RS applicatins Lack f time Lack f funds Our questins fcus n cnservatin utcmes nt RS technlgies and methds

6 Eastern Frest, Afghanistan Largest remaining frest cmplex in the cuntry High bidiversity Glbal 200 Ecregins Expected high rates f defrestatin Cnflict Pst-cnflict Brder insecurity Run defrestatin analysis fr 1970s 1990s, 1990s- 2000s

7

8 Prjecting Future Unplanned Defrestatin fr REDD+

9 REDD+ Prjects Principle Carbn Stck Prject Scenari Baseline (BAU) Scenari Time

10 Analysis f Histric Defrestatin LULC T1 LULC T2 LULC T3 Land Cver (1990) (2000) (2008) Land Cver Change LULCC T1-T2 LULCC T2-T3

11 LULCC T1-T2 Mdel f Defrestatin Risk Map Mdel Of Change (p1, p2, p3,, pn) Threats (T1) LULC T1 LULC T2

12 Baseline Predictin Mdel Of Change LULCC T3-T4 (p1, p2, p3,, pn) Predicted LULC T4 LULC T3 Threats T3 Risk Map

13 Study Area 5 Results Ttal Area Classified = 37,502 km 2 Study Area 4 Study Area km km 2 Cral Seagrass Study Area 3 Study Area km 2 18 km 2 25,317 km 2 11,317 km 2 Mudflat Beach Water Suspended Sediment Study Area Kilmeter s 13

14 Measuring success at WCS? Hw d we knw we are achieving ur gals?

15 5 Measures

16 Habitat integrity Ht-spt analysis Target Results Measures Cnservatin f wildlife and critical ecsystems Wildlife patch ccupancy Habitat and eclgical integrity Imprved natural resurce gvernance Management effectiveness Resurce gvernance Greater security and prsperity fr lcal peple Human wellbeing

17 Ht Spts f Change MODIS Data Derived Metrics Time series Lk fr changes in metrics Identify ht-spts

18 Prven Methd (Maced et al 2012) EVI = Enhanced Vegetatin Index frm MODIS satellite data

19 Best Apprach Wuld need ver 1400 Landsat Scenes t cver WCS LandScapes Autmated methds allw us t cmplete yearly analysis Mre detailed analysis f change areas High reslutin imagery Unamanned aerial missins

20 Challenges Data Dependent n free r lw cst data Landsat TM and ETM If we d budget fr data we have 5, ,000 Lack f availability in remte areas Frm grund truth t high reslutin imagery Cluds Opprtunities such as Planet Actin have helped Lack f capacity Funds We can get decent land cver maps dne Dn t have experts that can bring in advanced techniques - LIDAR Dn t have time t develp advanced techniques as we tend t react t critical prblems quickly Hard t raise funds fr technlgy in cnservatin Can t dedicate the resurces t RS applicatins

21 Addressing Challenges Panel discussin at past NASA Bidiversity and Eclgical Frecasting Team meeting Fcused n the lack f cmmunicatin and cllabratin pprtunities between scientists, academics and NGOs. Disjuncture between the innvative remte sensing research cnducted by NASA and university scientists, and the applied remte sensing wrk needed by NGOs t slve critical challenges t sustainable envirnmental management. Reviving and reinvigrating this multi-rganizatinal wrking grup greater cmmunicatin amngst remte sensing scientists and practitiners create a critical link between the nvel and visinary wrk f remte sensing scientists and n-the-grund cnservatin prjects.

22 Wrkshp NASA funded Wrkshp early 2013 Bring tgether 30 peple Gvernment agencies, academic institutins, cnservatin NGOs Develp list f Ten Cnservatin Questins that can be answered using RS technlgies Fster discussins acrss different institutins Publish results - map fr mving cnservatin RS frward Fcus f research and funding fr next several years Will directly impact the practice f cnservatin Discussins n frmal Cnservatin Remte Sensing Cmmunity We hpe this will be a beginning fr future effrts

23 Identificatin f Participants Wrked with NASA t identify participants Equal grups f arund 10 each f Cnservatin NGO, Gvernment Scientists and Academics Brad range f expertise Subject Gegraphic 35 Participants invited 30 attended

24 Pre-Wrkshp Survey Asked each participant t interview 5 clleagues What critical cnservatin challenges can best be answered using remte sensing technlgies and techniques Fcus n issues and questins directly relevant t cnservatin and nt n questins f technlgical advancements 24 Respnses 360 unique questins in 11 themes Sent ut t participants fr vting Vte fr Tp 10, plus 3 technical Final list f 183 questin brught t wrkshp

25 Wrkshp Mix f plenary and break-ut discussins Define gd questin and priritizatin Priritizatin f questins Final vting Tp 10

26 Definitins First set criteria Gd questin Priritizatin Gd Questin Clear Cnservatin Outcme Requires remte sensing technlgy and science Clear pathway t practice Fcused n key cnservatin themes but bradly applicable Priritizatin Critical infrmatin fr infrmed cnservatin actin Feasibility Transferability

27 Priritizatin Break 183 questins int 3 grups Each grup reviews questins Remves that dn t meet criteria fr gd questin Priritize remaining int lw, medium and high pririty Pass n pririties t next grup Secnd grup reviews just medium and high pririty questins Repriritizes int lw, medium and high Pass n t next grup Repeat prcess Cllate final list f medium and high pririty questins

28 Final Vting 25 Questins came t the final vting 5 vtes per participant Tp five mst imprtant questins Culd place mre than ne vte n a questin Final list reviewed in plenary Identified 10 Ten acrss 10 themes 5 Breakut Grups Wrdsmith final questin

29 10 Questins Theme 1: Species Distributin and Abundance Hw can remte sensing technlgies integrated with species distributin and abundance mdeling be used t better infrm cnservatin actin? Theme 2: Species Mvement and Life Stages Hw can RS be used t better understand brad scale prcesses that cntrl species mvement dynamics and their imprtance fr cnservatin?

30 10 Questins Theme 3: Ecsystem Prperties & Prcesses What key ecsystem variables need t be measured t understand, mnitr, and predict ecsystem respnse and resilience t multiple stressrs? Theme 4: Climate Change Hw des the rate, magnitude, and spatial and tempral distributin f bserved and frecast climate influence living systems and affect the benefits they prvide?

31 10 Questins Theme 5: Fast Respnse Hw can near real-time remte sensing fr ecsystem mnitring and frecasting catalyze rapid respnse t strengthen envirnmental enfrcement, gvernance and cmpliance, and resurce management decisins? Theme 6: Prtected Areas Hw can remte sensing help t cnfigure mre eclgically meaningful prtected areas that prvide spatial extents and cnfiguratins sufficient t cnserve eclgically functinal and resilient ppulatins f target species, and maintain critical stcks and flws f ecsystem services?

32 10 Questins Theme 7: Ecsystem Services Hw can managers mre effectively use remte sensing-derived prducts t value ecsystem services and mnitr changes in them? Theme 8: Cnservatin Effectiveness Hw can remte sensing imagery and analytical tls help cnservatin practitiners and resurce managers better mnitr and evaluate the effectiveness f their cnservatin effrts?

33 10 Questins Theme 9: Land Cver Change/ Agricultural Expansin Hw des the rate and pattern f agricultural/aquacultural expansin and intensificatin alter ecsystems and the services they generate Theme 10: Degradatin and Disturbance Regime T what degree are ecsystems being disturbed/degraded, and what are the eclgical ramificatins f these changes?

34 Next Steps Publicatin in secnd review Technlgical questins Gd lead-in t NASA Decadal Survey Mve Cnservatin Remte Sensing Netwrk frward

35 CRSNet Fster better cmmunicatin amng grups, thereby psitining researchers t benefit frm NGOs wealth f field knwledge and data Land cver, wildlife, sci-ecnmic data Prvide pprtunities fr NGOs t wrk with scientists t secure supprt fr cllabrative, cnservatin-relevant prjects Fcus effrts arund answering 10 questins If successful, will significantly address challenges cnservatin NGOs face

36 CRSNet Missin "The Missin f the Cnservatin Remte Sensing Netwrk is t increase cnservatin effectiveness thrugh enhanced integratin f remte sensing technlgies in research and applicatins

37 CRSNet Themes Research and Cllabratins 10 Questins Standards and Best Practices Capacity Develpment Cmmunicatins

38 Next Steps Build cmmunity We have started a Ggle Grup fr the CRSNet and have ver 300 participants Want t build membership including mre internatinal participatin Develping Member Survey Identify the make-up f membership Where d they want t see the CRSNet g? CRSNet Charter and 1 year plan fr fur themes

39 Thank Yu