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( 'j, io COASTAL ZONE. INFORMATION CENTER FINAL REPORT W ACQUISITION OF GEOGRAPHIC INFORMATION'SYS704 I I By U.S. Fish and Wi 1 dl i fe Service. Natohal Coastal Ecosystems Team 1010 Gause Boulevard Slidell, Louisiana -70458 Submitted to Coastal Management Section Department of Natural Resources -State of Louisiana DNR Cooperative Agreement Number 21910-84-03 G 1.5 April 1985 70.215 A37 1985 Task I Digitization of Habitat Maps' S. -Fish and Wildlife Service -(FWS) digitized 168 - ..The Us. 1:24,000 habitat maps for. the study. This r.epresehts,an extra 30 maps beyond that required for.the Agreement. A complete-listing,of maps digitized thus far by FWS may. be found in Attachment A's bata.tapes.in Map Ov.e rl ay. Statistical System@(MOSS) forma t for installation. on the Department.of,Natural Resources (DNR) computer were -your instructi.ons. delivered in March, per Task II Database Analysis and Training For this task, FWS.provi.ded technical assistance on an "as needed" basis -personnel,during the length of the Agreement. .- Total number of, to DNR technical assistance requests was 24. These requests -included assistance -in permit reviews, computer -accession, software -clarifications, and training. -Special -projects or analyses included computer graphics and data for, , Barataria Estuarine Conference (Attachment B) 9 Chenler Plain MOSS files converted to ELAS format, for Louisiana State Univers ity'and Us S. Soil Conservation,Service (Attachment C), two computer-generated maps (20*total) on wetland changes for selected,.port.ions of,the Louisiana coastal zone ..(Attachment D),-and a summary paper prepared by FWS on comparison6f MOSS and ELASJor*monitoring wetland loss (Attachment E) Trai ni ng for DNR was provided@by FWS on an as'needed" basis and DNR participated in a 1-week-MOSS-Users' Workshop in Denver, CO, sponsored by the FWS and the,Bureau of-Land.Management, in mid-February. Updated training manuals*have been supplied to DNR as they become available. 7ask''III Installation of Dedicated Computer Line the installation of a@dedicated line wastancelled Per DNR instructions due to DNR purchasing their own geographic information system. However, FWS did provide DNR access to its computer on an "as needed" basis and DNR. accessed FWS's computer approximately 250 hours during study. artment of Commerce, US Dep Services Center LibrarY Dastal S 140A ggi@ 0 son Avenue NC234 C C @S@u 29405-2413 1: leston, S 1. LOUISIANA 1956 HABITATS MAP NAME ATTACHMENT A --------------------------- ABBEVILLE EAST ABBEVILLE WEST ALLIGATOR POINT AMELIA BARATARIA BARATARlA PASS BACSTIAN BAY BAY PATISTE BAY COQUETTE BAY C0UPANT BAY DOS GRIS BAY L'OURS BAY RONQUILLE BAY SAUVEUR BAY TAMBOUR BAYOU BLANC BAYOU COCODRIE BAYOU LABAUVE BAYOU LUCIEN BELLE CHASSE BELLE ISLE BELLE PASS BERTRANDVILLE BLACK BAY NORTH BLACK BAY SOUTH BLACK LAKE BONNET CARRE NE BOUDREAUX LAKE BOURG BRETON ISLANDS BRETON ISLANDS SE BROWNS LAKE BURAS BURRWOOD BAYOU E BURRWOOD BAYOU W CALUMET ISLAND CAMERON CAMERON FARMS CATAHOULA BAY CATFISH LAKE CAT ISLAND PASS CENTERVILLE CENTRAL ISLE DERNYERES CHALMETTE CHANDELEUR LIGHT EAST CHANDELEUR LIGHT WEST CHARENTON CHEF MENTEUR CHENIERE AU TIGRE NE CHENIERE AU TIGRE NW CHENIERE AU TIGRE SE CHENIERE AU TIGRE SW COCODRIE CONSTANCE BAYOU NE CONSTANCE BAYOU SE CONSTANCE BAYOU NW CONVENT COQUILLE POINT COVINGTON COVINGT0N SW CUT OFF CYPREMORT POINT DELACROIX DELCAMBRE DIXON BAY GOD LAKE DONALDSONVILLE DOOR POINT DULAC EAST BAY JUNOP EAST OF PASS A LOUTRE E EASTERN ISLES DERNIERES ELLERSIE EMSPIRE FALSE MOUTH BAYOU FIVE LAKES FORKED ISLAND NW FORKED ISLAND SW FOUR LEAGUE BAYOU FRANKLIN GARDEN ISLAND PASS GOLDEN MEADOW G0LDEN MEADOW FARMS GRAND BAYOU GRAND BAYOU DU LARGE GRAND CHENIERE GRAND ISLE GRAND GOSIER ISL EAST GRAND GOSIER ISL WEST GRAND LAKE EAST NE GRAND LAKE EAST SE GRAND LAKE EAST NW GRAND LAKE EAST SW GREENS BAYOU HAASWOOD HACKBERRY HAHNVILLE HAMMOCK LAKE HAPPY JACK HEBERT LAKE HOG BAYOU NE HOG BAYOU NW HOG BAYOU SE HOLLY BEACH HOUMA HUMPHREYS IDIAN BEACH INTRACOASTAL CITY JACKO BAY JEANERETTE JENNINGS SW JOHNSONS BAYOU KEMPER KILLIAN LABRANCHE LACOMBE LAFITTE LAGAN LAKE BATOLA LAKE BULLY CAMP LAKE CATAOUATCHE E LAKE CATAOUATCHE W LAKE CHARLES SE LAKE CHARLES SW LAKE CUATRO CABALLO LAKE ELOI LAKE EUGENIE LAKE FELICITY LAKE LA GRAISSE LAKE LAURIER a LAKE MECHANT LAKE MISERE LAKE- PENCRANT LAKE POINT LAKE QUITMAN LAKE SALVE LAKE TAMBOUR- LAPLACE LAROSE LATANIA LAKE LEEVILLE LENA LAGOON LITTLE WOODS LOST LAKE LULING LUTCHER MAIN PASS MALHEUREUX POINT MANCHAC MANDEVILLE MARONE POINT MARTELLO CASTLE MINK BAYOU MITCHELL KEY MONTEGUT MORGAN CITY MKORGAN CITY SE MORGAN CITY SW MORGAN HARBOR MOSS LAKE MOUNT POINT MOUNT AIRY NE MOUNT AIRY NW NEW HARBOR ISL EAST NEW HARBOR/FREEMASON ISL NEW IBERIA SOUTH NEW ORLEANS EAST NEW ORLEANS WEST NORTH BEND NORTH ISLANDS EAST NORTH ISLANDS WEST NORTH SHORE OAK MOUND BAYOU ORANGE ORANGEFIELD OYSTER BAYOU PASS A LOUTRE NE PASS A LOUTRE NW PASS DU BOIS PATTERSON PECAN ISLAND NE PECAN ISLAND SE PECAN ISLAND NW PECAN ISLAND SW PELICAN PASSS PEVETO BEACH PHOENIX PILOTTOWN PLUMB BAYOU POINT A LA HACHE POINT AU FER POINT AU FER NE POINT AUX MARCHETTES POINT CHEVREUIL POINT CHICOT PONCHATOULA PONCHATOULA NE PONCHATOULA SE PORT ARTHUR SOUTH PORT SULPHUR PROCTOR POINT RIGOLETS RESERVE RUDDOCK SABINE PASS ST. TAMMANY SLIDELL SORRENTO SOUTH OF BAYOU LABAUVE SOUTH OF JOHNSONS BAYOU SOUTH OF POINT AU FER SOUTH OF SOUTH PASS SOUTH PASS SOUTH POINT SPANISH FORT SE SPRINGFIELD STAKE ISLANDS EAST STAKE ISLANDS WEST SWEET LAKE TAYLOR PASS TEXAS POINT THREE BAYOU BAY THREE MILE BAY TIGRE LAGOON TIMBALIER ISLAND TRIUMPH VENICE WEEKS WELSH SE WELSH SW WEST OF GREENS BAYOU WEST OF JOHNSONS BAYOU WESTERN ILES DERNIERES WILKINSON BAY YSCLOSKEY La 1978 habitats ABBEVILLE EAST ABBEVILLE WEST ALLIGATOR POINT AMELIA BARATARIA BARATARIA PASS BASTIAN BAY BAY BATISTE BAY COQUETTE BAY COURANT BAY DOS GRIS BAY L'OURS BAY RONQUILLE BAY TAMBOUR BAYOU BLANC BAYOU COCODRIE BAYOU LABAUVE BAYOU LUCIEN BAYOU SAUVEUR BELLE CHASSE BELLE ISLE BELLE PASS BERTRANDVILLE BLACK BAY NORTH BLACK BAY SOUTH BLACK LAKE BONNETT CARRE NE BOUDREAUX LAKE BOURG BRETON ISLANDS BRETON ISLANDS SE BROWNS LAKE BURAS BURRWOOD BAYOU EAST BURRWOOD BAYOU WEST CALUMET ISLAND CAMERON CAMERON FARMS CAMINDAD PASS CARENCRO BAYOU CAT ISLAND PASS CATAHOULA BAY CATFISH LAKE CENTERVILLE CENTRAL ISLES DERNIERES CHALMETTE CHANDELEUR LIGHT EAST CHANDELEUR LIGHT WEST CHARENTON CHET MENTUER CHENIERE AU TIGRE NE CHENIERE AU TIGRE SE CHENIERE AU TIGRE SW COCODRIE CONSTANCE BAYOU NE CONSTANCE BAYOU NW CONSTANCE BAYOU SE CONSTANCE BAYOU SW CONVENT COQUILLE POINT COVINGTON COVINGTON SW CUT OFF DELACROIX DELCAMBRE DIXON BAY DOG LAKE, DONALDSONVILLE DOOR POINT DULAC EAST BAY JUNOP EAST OF PASS A LOUTRE EAST EASTERN ISLES DERNIERES ELLERSLIE EMPIRE ENGLISH LOOKOUT FALSE MOUTH BAYOU FIVE LAKES FORKED ISLAND NW D ISLAND SE FORKE FORKED ISLAND SW FOUR LEAGUE BAY FRANKLIN GARDEN ISLAND PASS G0LDEN MEAD0W MEAD0W FARMS GOLDEN GRAND BAY0U GRAND BAYOU DU LARGE GRAND CHENIERE GRAND GOSIER ISL EAST GRAND G0SIER ISL WEST GRAND ISLE GRAND LAKE EAST NE GRAND LAKE EAST NW GRAND LAKE EAST SE GRAND LAKE EAST SW GRASSY LAKE GREENS BAYOU HAASW00D HACKBERRY HAHNVILLE HAMMOCK LAKE HAPPY JACK HEBERT LAKE HOG BAYOU NE HOG BAYOU NW HOG BAYOU SE HOLLY BEACH HOUMA HUMPHREYS INDIAN BEACH INTRACOASTAL CITY JACKE BAY JEANERETTE JENNNINGS SW JOHNS0NS BAY0U KEMPER LABRANCHE LAC0MBE LAFITTE LAGAN LAPLACE LAROSE LAKE ATHANASIO LAKE: BATOLA 7. LAKE CATAOUATCHE WEST LAKE CHARLES SE LAKE CHARLES SW LAKE CUATRO CABALLO LAKE ELOI LAKE EUGENIE LAKE FELICITY LAKE LAURIER LAKE LA GRAISSE LAKE MECHANT LAKE MISERE LAKE PENCHANT LAKE POINT LAKE QUITMAN LAKE SALVE LAKE TAMBOUR LAKE THERIOT LATANIA LAKE LEEVILLE LENA LAGOON LITTLE WOODS LOST LAKE LULING LUTCHER MADISONVILLE MAIN PASS MALHEUREUX POINT MARONE POINT MARTELL0 CASTLE MINK BAYOU MITCHELL KEY M0NTEGUT MORGAN CITY MORGAN CITY SE MORGAN CITY SW MORGAN HARBOR MOSS LAKE MOUND LAKE MOUNT AIRY NE MOUNT AIRY NW NAPOLE0NVILLE NAPOLEONVILLE SW NEW HARBR ISL. EAST NEW HARBOR/FREEMAS0N ISL CE NEW IBERIA SOUTH NEW ORLEANS EAST NORTH BEND NORTH ISLANDS EAST NORTH ISLANDS WEST NORTH SHORE OAK MOUND BAYOU ORANGE ORANGEFIELD OYSTER BAYOU PASS A LOUTRE EAST PASS A LOUTRE WEST PASS DU BOIS PASS TANTE PHINE PATTERSON PECAN ISLAND NE PECAN ISLAND NW PELICAN PASS PEVETO REACH PHOENIX PIERRE PART PILOTTOWN PLUMB BAYOU POINT A LA HACHE POINT AU FER POINT AU FER NE POINT AUX MARCHETTES POINT CHEVREUIL POINT CHICOT PONCHATOULA PONCHATOULA NE PONCHATOULA SE PORT ARTHUR SOUTH PORT SULPHUR PROCTOR POINT RESERVE RIGOLETS RUDDOCK SABINE PASS ST. TAMMANY SLIDELL S0RRENT0 SOUTH PASS SOUTH POINT SOUTH OF BAYOU LABAUVE SOUTH OF JOHNSONS BAYOU SOUTH OF POINT AU FER SOUTH OF SOUTH PASS SPANISH FORT SE STAKE ISLANDS EAST STAKE ISLANDS WEST SWEET LAKE TAYLOR PASS TEXAS POINT THREE BAYOU BAY THREE MILE BAY TIGRE LAGOON TIMBALIER ISLAND TRIUMPH VENICE WEEKS WELSH SE WELSH SW WEST OF GREENS BAYOU WEST OF JOHNSONS BAYOU WESTERN ISLES DERNIERES WILKINSON BAY YSCLOSKEY ATTACHMENT VS ING AGEOGRAPHIC INFORMATION SYSTEM TO EVALUATE WETLAND LOSSES IN BARATARIA BAY oyd Stayner James Johnston, Charles Alexander, and Fl U.S. Fish and Wildlife Service National Coastal Ecosystems Team 1010 Gause Blvd. @Slidell, LA 70458 Presented at:- ovl Barataria Estuarine,Complex Conference The Four Columns 3711 West Bank Expressway -Harvey, LA September 26, 1984 OPENING REMARKS INTRODUCTION Thank-you Dr..Guey. -I.am very pleased to be here today as-a participant in' these proceedings.. As many of you 'know, I work'for theAati.onal Coastal. Ecosystenis;71eam, or' NCET,'of.the U.S. Fish and Wildlife Service (FWS) in Slidell, LA_ Part Of my work involves-overseeing the Use of a', computerized Geographic, Infomation'System, or. GIS, which we util,ize in the-a'nalysis of - resource management problems throughout-coastal areas'of,the United States. GIS system is capable of processing large volumes of natural.resource and lan&use-information in formats and.displa.ys which are' extremely useful., to -resource managers. My presentation this,morning will briefly discuss one ..application,of thistechnology t6wards.the-.problem of wet.land loss in Barataria Bay. - BACKGROUND -located along the south central coast of Louisiana Barataria Bay is -(Fi gure 1). The basin which forms the Bay is a Mi,ssissippi Delta flank de,pres- --sJon-approximately 70.miles long with -its apex at, Donaldsonville. I t. widens. Jo approximately 30 miles between.Belle Pats at Bayou Lafourche and Red Pass at the Mississippi River. The basin forms a natural mixing area for saline and freshwater and represents an extremely productive natural area with a-rich diversity of flora.and fauna. The landforms and marshes of the Barataria Basin are in a constant state of flux. Hist' orical.ly, there has been a dynamic equilibrium along.the ocean/land interface-in coastaTLouisiana where relation- ships between river deposition,' waves, currents, subsidence and.-worldwide sea level changes have re.sulted in a constantly changing shoreline. In, the past, as the Mississippi River wandered from one delta.to -another-,' abandoned 0 0 z 30 0: wo -.4 Oc oo- z )p > x m )w -< 0 Of-+O*+ Y 7/-- Ag -deltas and marsh areas slowly eroded asnew marshes were established else- where. Maintenance of marsh areas was,.and continues to be, highly dependent upon the availability of sediments and nutrients either'from minor'distribu- .,taries or-from overbank flooding during perfods of.high-Water., Human activity in Barataria Bay, which has intensified over the past two Aecades, has greatly modified these processes. The construction of flood control..Ievees along the Mississippi River to the east of the Bay and along Bayou Lafourche to the west was begun during the. la.te 1800'.s.a'nd completed.by the 1930's. These -levees, combined'with the artificial damming of Bayou Lafourc*he-in 1904, effectively cut off all riverborne sediment and freshwater flow into'the basin. Today the primary source of freshwaterinto the area is :.rainfall. Other activities whichImpact on,wetland loss in Barataria Bay include. canal dredging 4ssociated.with oil and gas activity.and*marsh drainage for agri culture and urbanization. @-DESIGNATION OF PROBLEM AREAS The GIS system,at.NCET can be avaluable tool in identifying particular .,Problem areas within-Ba.rataria Bay. Although only a portion of the resource information for the entire Barataria Ba s.i nhas been "digitized,". or incorporated into the GIS system (the broken line in Figure 2 rou.ghly approximates the area digitized), we-have identified three different problem areas in order to illustrate three different types of I'and loss within the Bay." 3- -I'm Figure 2 'BASIN, MAP OF BARATARIA DRAINAGE SHOWING THE- MDPR BOUNbARX POMMARTOVAlAt NE PLE MDPR BOUNDARY. , At BARATARIA HYDROLOGIC UNIT BOUNDARIES BARATARIA BASIN'' ORAINAGE-AREA v t4 t AKE CHE SALVADbO moum + LAFITTE OIL B RATARIA BAY CUT OFF N GOLDEN MEADOW A NA a MY mom ADAMS DAY MAY 0 10 30 The maps.a.nd statistics generated. within the' GIS system for these areas are based upon 'wet.l.and habitat maps from two different time periods, 1956 and 1978., For -the 1956:maps, black.and white aerial photography was interipreted@ 0 and 1:24,000 scal"e maps prepared. Color i nf ra red, - pho to gra hy was used'A p ...:Prepare the same scale size., habitat maps for-1978., These maps were,then, "digitized," or transferred from po-int:locations.on''a mapped graphic image, to a computer coordinate system,-.for digital Processing. Wetland habitats,were designated according to a wetland classification scheme developed by the FWS. Cut Off-Golden Meadow Area The Cut Off-Golden Meadow area is located on the western s'.ide of the Barataria Basin Along Bayou Lafourche. The most dramatic changes which have occurred. in this area, has.. been'the loss of marsh to upland development, primarily ans.and crawfish farming),a for.agriculture (soybe nd 61 so to open water The bar.chart in Figure 3:illustrates the changes over time--for four.-different babitats; marsh, forested.wetlands, uplands and open water. The Actual data i.n the GIS S' our ystem is more specific than this, but for the.purposes of presentation today, the more general 'relationships between these four categories Illustration of change. over.time provides the best 1 Upland change i s concentrated around Bayou Lafourche'. Various farming operations, including stepped up crawfish farming, have had the largest impact. The construction of a hurricane protection levee system,,scheduled to be ..completed in.the near future, will most likely cause even more marsh to disapear. Deterioration of, wetland areas to' open water has occurred to the south and west of. Bayou Lafourche, and,around.Catfish Lake. 5 Figure 3 CUT, OFF. AND'GOLDEN MEADOW BAYOU. LAFOURCHE AREA 100- 1956 90- so- 70- 529391 60 so 349792 --------------- 40 .246513 .......... 30 X..X. 1 695 20, -- -------- S. .... .... 89123 10 6.815 Cora ----------- .......... 0- FORESTED MARSH WETLANDS 'UPLANDS OPENWATER taf i tte Oi I Field :_The Witte Oil Field is concentrated in central Barataria Bay, northeast Iden Meadow area. This region hassbeen 'of _Li ttl e Lake and the Cut Off-Go subjected to intensive oil and gas exploration as evidenced by the density of canals, the trademark of this industry on the Marsh. Since 1956, as illustr ted in'Fig percent of the I a ure 4, approximately, 21 marsh in this a,rea has been changed to.open water and 'uplands. The almost exclusive source of these changes has been the dredging of marsh to :provide access canals.for drilling rigs, and.the deposition of-dredge spoil alongthe canal margins, covering marsh and creating an upland area where there on.ce.was none'. Adams Bay 7The Adams Bay area is located, in.the southeastern part of the Barataria Sasin between the Gulf of Mexico -and the Mississippi River. This area' is ."traverse d'by numerou's oil and gas pi pel i ne- canal s. but. has not been subjected to the tame level of hydrocarbon @exploration as the Laffite Oil Field. .-has deteriorated to open water Since 1956, nearly 34 percent of 'the marsh in this area (Figure 5). Forested wetlands and uplands., concentrated around Mississippi River, have remained almost unchanged.. The most probable cause of land loss in this-region is a combination of.wave and tidal.erosion due to.its proximity to the Gulf of Mexico, and.a lack of new. sediments to, replace those that A re lost to erosion and local subsidence as former.deposits begin -to settle., The. historical. source@of new sediments.was overbank, flooding'. from the Mississippi. 7 AREA ML Ul ro F"7% ul 04 ........... . AREA W 44). Ul (D 4D co .......... ..... cn *',*"**"***'*****'*'***,***"*"%.-.-.4 ..................... ... ..... Xe. .......... M 0 Ul 4A ML % *4 0 m ut ca .......... . . .. .......... . .. ........... ......... co %............ ...... .. -Barataria Bay Wh i 1 e' the three probl em areas discussed so far-all illustrate significant changes in habitat. over time, particularly for wetlands, statistics-for the entire area of Barataria Bay (f.e., the area digitized in the GIS) are somewhat less dramatic@ (Pigur.e 6). Rates of change that were magnified''at am@ Bay -or Ad' Witte are not aslobvious when one looks across the entire Barataria complex.- Nevertheless, the trend is the same: wetlands are disappearing and being replaced-by upland.s and open water. Since 1956 marsh, as a'percent of the total area, has decreased.by 12 percent while open water has increased by 1.1 percent. 'The usefulness in locating particular problem areas, such as Adams Bayj is in the application.,of sol-ution.s. By identifying where the most pronounced changes. are occurring, .we can address the problem more directly and efficiently.' Management plans can focus on isolated trouble spots rather' than being.-diluted- he future can be more effective. across...vast areas.and planning,for t Attributing changes in Louisiana's coastal habitats to man is simple in cases such As the Cut - Off -Golden Meadow area where farmers have diked and drained many acres of marsh, and.in the Lafitte.Oil Field where oil and gas companies have dredged miles of.access canals for exploration and production. Such conclusions are not as easily arrived.at in the.case of Adams'Bay or Barataria Bay,generally where there are many natural processes at work which" may or may notbe contributed to.by human activities. Dozens of-various. factors'must, in each case, be weighed and considered.beforethe issue,of wetland loss can be adequately.resolved. Even more di ff i C'u It -to assess is the IF- effect.these factors will ultimately have on the Louisiana coas't,.in general and Barataria Bay i.n particular, in terms of.resource produ.ctivity.' -.Finally, 10 % AREA W. ul ul Cl) ul 'Us AN Ul CA ut ul ....... ...... ..... ---------- -further confounding the issue, is. the question of.what we could or even should do to effect changes if we understood wetland lo'ss as having an unquestionably negativeimpact on natural resources, given the enormous economic.costs such. action. may involve. :My presentation to you this mording does not propose. to..an'swer such :questions. The landscape of Barataria- Bay is certainly changing, of that there "can be no question at all. Whatl hope-you will. take away from this presentation is a feel for the types.of changes that are taking-place and how .,,we can use technology available today to study these-changes. @zl CONCLUSIONS -:CLOSING REMARKS by recommending to you that J. would like to end this,. presentation ..computer-assis,ted methodologies and techniques can be successfully integrated 0- comprehensive natural resource lanning. The GIS-'system at NCET is only p ..:@,._.:%vne example of how this can be-done. A GIS system can be an extremely. useful n 0 .--,,.@ool in pl.an i,ng our future management 'f the, natural resource.s of Barataria Bay.'". It-can be 'Used not only to.better quantify.and display"existing coastal problems, but also to predict*and plan for future ones. -The only limits such a system has-are the quality of information it receives (which, of course boils down to dollars) and one's ow:n,imagination. Thank you for inviting me to'speak to you.-today. I would now like to-try and-answer any questions you may have. 12 ACKNOWLEDGMENTS The authors thank-the.fol'lowing individuals for their contribution to this paper:. Bo Bl ackmon, State of.Louisiana; Dave Frug6, Dave Soileau,.*and Scurry, U.S. Fish an-&-Vildlife Service; Robert'Ader, Bureau of Land Management; and John Day and James Gosselink, Louisiana State University.--- Funding-for this effort was provided by the State of Louisiana-Coastal Management Section, Environmental Protection Agency, Minerals Management Service, and U.S.-Fish and Wildlife Service.. 13 REFERENCES Adams, R.D., B.B. Barrett, J.H. Blackmon, B.W. Gane, and W.G. McIntyre. 1976. Barataria Basin: Geologic processes and framework. Louisiana State University, Center for Wetland Resources, Baton Rouge, Louisiana. Sea Grant Publ. No. LSU-T-76-006. Bahr,L.M., Jr.,R. Constanza, J.W. Day,Jr., S.E. Bayley, C. Neil, S.G. Leibowitz, J. Fruci. 1983.Ecological characterization of the Missis- sippi Deltaic Plain Region.: anarrative with management recommendations. U.S. Fish and Wildlife Service, Division of Biqological Services,Wash- 89 p ington, D.C. FWS/OBS-82/69. Blackmon, J.H. 1978. A detailed analysis of marsh deterioration- for, selected. sites in the Barataria Basin, Louisiana. In: J.W. Day, Jr., D.D. Culley, Third Coastal.. Marsh Jr.,R.E. Turner, and A.J. :Mumphrey Jr., eds. Proc ary and Estu Management Sym osium. Louisiana State University, Division p of, Continuing Education, Baton Rouge, Louisiana, 1979. Cowardin, L.M., V Carter, F.. C. Gol.et, and E.T. LaRoe. 1979. Classification of wetlands and deepwAter habitats of the United States. FWS/OBS-79/31. Office of Biological Services U.S. Fish and Wildlife Service, Washing- ton, D.C. Craig, N..J. R.E. Turner,and J.W. Day, Jr.. 1979. Land loss in coastal Louisiana (U.S.A.). Environmental Management. 3:133-144. 14 Johnston, J.B. and R.R. Ader. 1983. The use of GIS for Gulf of Mexico wet- I and change. In: Proc. Third symposium on Coastaland Ocean Mgmt.-- oa 83. O.T. Magoon, ed. American Society o e stal Zone f Engine rs N. Y. K M 1980. Mississippi Deltaic Plain Region ecological charact Wicker., eriza- tion: a habitat mapping study. A user's.guide to the habitat maps. U.S. Fish and Wildlife Service, Office of Biological Services. FWS/OBS- 79/07. 15 ATTACHMENT C United States Department of the Interior FISH AND WILDLIFE SERVICE NATIONAL COASTAL ECOSYSTEMS TEAM NASA SLIDELL COMPUTER, COMPLEX 1010 GAUSE BOULEVARD, SLIDELL, LOUISIANA 70458 March 15 ,1985 Dr. Terry Howey State of Louisiana Department of Natural Resources Natural Resources Building P.O. Box 44396 Baton Rouge, LA 70804 Dear Dr. Howey: Enclosed are the data files for the Chenier Plain project,requested by your agency. The project area in luded the Sweet Lake, Boudreaux Lake, Grand Bayou., Hackberry, Cameron,and Creole quadrangles in Louisiana. These maps were merged together and gridded at a 10 meter cell.size. The files have been converted to ELAS format and should be read in using the output format An the MOSS2ELAS subroutine. It was necessary to convert the files because of a new cell data in the MOSS system. The data was dumped as follows: Tape No. 1 File#l inludes 1956 Wetland Habitats forthe project area Block size=7252 Tape No. 2 File#2 includes 1978 Wetland Habitats for the project area Block size= 7252 A listing of the subjects for each file have been enclosed which specify the habitat type with its associated cell count value. If you have any questions concerning these file please call me. Sincerely yours, Floyd Stayner Geographer FOS/Enclosures ATTACHMENT D United States. Department of the Interior FISH AND WILDLIFE SERVICE NATIONAL COASTAL ECOSYSTEMS TEAM NASA SLIDELL COMPUTER COMPLEX 10.10 GAUSE BOULEVARD SLIDELL, LOUISIANA 70458 January 1 1985 'Dr. Terry Howey Department of Natural Resources. .,Coastal Zone Management Section. Natural Resources Building, P.O. Box 44396 Baton Rouge, LA 70804' Dear Dr. Howey: e Per your request of 19 December 1985, 1have 'nclosed.-two.copies of 'al 1, ..,projects-we have completed in the.State of Louisiana. These.maps partially fulfill our obligations for deliverable items as outlined in Task 2 of -No. -03. the ONR Cooperative Agreem&t 21.910-84 If a vou.have. an' questions pertaining to these' items ple se contact me. y Sincerely yours, @@Floyd yner Geograph& Enclosures )yd lyner ',-ATTACHMENT'E. AN EVALUATION OF LANDSAT MSS DIGITAL DATA FOR ..@UPDATING HABITAT MAPS OF@ THE.LOUISIANA COASTAL -ZONE -Computerized.@Geogra'phic Information Systems (GIS) can provide 'data-on the -ibution,' identity, and conditi n of natural resources. The spatial di. s tr 0 National Coastal.,Elcosystems. Team.(NCET) currently operates a.GIS called Map, ay and:Statis i -(MOSS), which provides data And' analyses'@of Overl tical System The'utility of.any.GIS coastal,zone resources to'aid in management.decisions. used for coastal management-is enhanced by periodic updates of the coastal .res. ources data base.. Unfortunately, the process of updating coastal habitat maps (i.e.,,,acquisition of.aerial photography and. collateral data$ photointerpretation, digitization,-.editing, and Verification) is@ often time-consuming and-costly. The synoptic and temporal vi.ew-of the.coastal -zone offered by atellite remote sqpslng coupled with computer-processing techniques :S appeared to -have the potential for low-cost updating of.habitat maps in the :MOSS data base., A study was initiated by NCET to determine theJeasibility of -Scanner (MSS) digital data and c'omputer-assisted using Landsat Multispectral 15, essing techniques to update habitat.maps.of.the,,L"* iana'Coastal _,jmage proc The study area was a 16,845-ha section of.coastal lowland in southeast Louisiana.- Its boundary was defined by the area encompassed by the Barataria' Pass U.S. Geological Survey 7.5-minute topographic .-quadrangle. Land cover.and land use in this area are similar to other coastal regions of the northern Gulf of M-exico and-include 'open water, barrier islands, beaches, coastal vegetation, urban,commercial-industrial 'centers, recreation areas- -and i 1 and-gas 'exploration.: The habitat information stored in the MOSS data base for Barataria Pass quadrangle wasdigitized from maps produced from manual interpretations of aerial photography taken in 1978. A total of 14 habitat categories were identi fied and delineated A cloud-free 1979 Landsat digital image was selected for the analysis and was processed with a minicomputer equipped for image analysis. This computer used software developed by the National Aeronautics and Space Administration (NASA) for processing digital data from satellite remote sensors. A statistical clustering procedure was used classify the landsat data in an attempt to duplicate the 14 habitat categories present in the 1978 MOSS map, The overall accuracy of the habitat map derived from the landsat classi- fication was low. While the mapping accuracy for open water habitat was mapping accuracies for the remaining 13 habitat categories ranged from O.O to 34.0%. mapping accuracies obtained in this study are related to: (1) inadequate spatial and spectral resolution of the Landsat MSS for mapping coastal wetland habitats, (2) differences in tidal levels between the habitat map and Landsat image, (3) radiometric defects in the Landsat (polygon) image, and(4) mapping errors related to the conversion of the MOSS map from vector format into 50-m grid cells. The results of the analysis suggested that. machine classifications of Landsat MSS data were not sufficiently accurate for updating habitat maps of the Louisiana coastal zone. Landsat Thematic Mapper (TM) data, available since mid-1982 offers greatly improved spatial and spectral resolution relative to the MSS image used. in this study. The use of these Landsat TM images,with manual interpretation methods would probably result in higher mapping accuracies for coastal habitats. NCET is continuing its efforts to use remotely-sensed satellite data and computer processing techniques to inventory. and monitor coastal. resources. For more information contact: I. Nelson May. Jr. National -Marine Fisheries National Oceanic and Atmospheric Administration., National Space Technology Laboratories NSTL, MS 39529 FTS 494-3650 and Dr. James B. Johnston National Coastal Ecosystems Team U.S. Fish and Wildlife Service. NASA-Slidell Computer Complex 1010 Gause Boulevard Slidell, LA 70458 FTS685 -6511 I @illin@iiiiiiiiiiiisili 1410.3 6873- - I