U.S. Geological Survey Department of Interior 199603 Map USGS-NPS Vegetation Mapping Program Tuzigoot National Monument Denver CO USGS, Biological Resources Division, Center for Biological Informatics Created in large part by Environmental Systems Research Institute, Inc. Redlands, CA under contract from USGS, BRD, CBI. http://www1.usgs.gov/vip/tuzi/tuzi.zip doi:10.5066/F77H1GJ9 The vegetation units on this map were determined through the stereoscopic interpretation of aerial photographs supported by field sampling and ecological analysis. The vegetation boundaries were identified on the photographs by means of the photographic signature and collateral information on slope, hydrology, geography, and vegetation in accordance with the Standardized National Vegetation Classification System (October 1995). The mapped vegetation reflects conditions that existed during the specific year and season that the aerial photographs were taken. There is a margin of error inherent in the use of aerial photographs. Therefore, a detailed ground and historical analysis of a single site may result in a revision of the vegetation association boundaries established through photographic interpretation. Provide National Parks with the necessary tools to effectively manage their natural resources. 19950912 Source photography date Complete None Planned Tuzigoot National Monument and environs. -112.028203 -112.017207 34.784686 34.764187 None vegetation vegetation communication vegetation mapping National Park Service U.S. Geological Survey alliance land cover association None Arizona Tuzigoot National Monument None vegetation classification Standardized National Vegetation Classification System alliance community association U.S. Government; Federal Geographic Data Committee 19971022 document Washington D.C. Federal Geographic Data Committee http://www.fgdc.gov/standards/projects/FGDC-standards-projects/vegetation/index_html Vegetation association were identified, no specimens nor vouchers were collected as a part of this process. Vegetation association of the National Vegetation Classification System (October 1995) Kingdom Plantae None Any person using the information presented here should fully understand the data collection and compilation procedures, as described in these metadata, before beginning analysis. The burden for determining fitness for use lies entirely with the user. For purposes of publication or dissemination, citations or credit should be given to the U.S. Geological Survey and the National Park Service. USGS BRD Center for Biological Informatics USGS-NPS Vegetation Mapping Program Coordinator mailing and physical address

Denver Federal Center, Building 810, MS 302

Denver Colorado 80225 (303) 202-4220 303-202-4219 gs-b-npsveg@usgs.gov http://www1.usgs.gov/vip/tuzi/tuzivegmap.pdf Graphic image of map and key PDF http://www1.usgs.gov/vip/tuzi/tuzivegmap_poster.pdf Graphic in map composition layout PDF UNIX-ARC/INFO The mapped data have been revised by CBI personnel using data collected during accuracy assessment field work. As a result 50 polygons were reclassified. A contradictory classification in understory vegetation in woodland types resulted from comparison of the photographic examination with field-collected data. The accuracy assessment data, collected on the ground, were selected in preference to the original mapped data. the final spatial database is now considered to be 100% accurate. All polygon features are checked for topology using the ARC/INFO software. Each polygon begins and ends at the same point with the node feature. All nodes are checked for error so that there are no dangling features. There are no duplicate lines or polygons. All nodes will snap together and close polygons based on a specified tolerance. If the node is not within the tolerance it is adjusted manually. The tests for logical consistency are performed in ARC/INFO. All data that can be photointerpreted is also digitized. This includes alliances/association classes, water, and unvegetated/landuse. Unknown. The positional accuracy of the base digital ortho image is not known. It is assumed the map meets National map Accuracy Standards. See Analysis of Accuracy Assessment Procedures at Tuzigoot National Monument. Kenney Aerial mapping Company, Pheonix, AZ 19950912 image Phoenix, AZ Kenney Aerial Mapping Company The aerial photography is CIR and 1:6000 scale. The camera calibration report is USGS Report Number OSL/2066 dated January 10, 1995. 6720 Transparency 19950912 Source photo date tuzi Aerial Photos These aerial photographs were the basis for the photointerpretation process. Unknown 1992 remote sensing image unknown unknown The digital orthophotograph is a 1:2400 scale image. Horizontal and vertical accuracies are unknown. origin and publisher are also unknown. 2400 Electronic Mail System 1992 Imagery date tuzi Orthophoto This digital orthophoto provided the project base map. USGS, BRD, Center for Biological Informatics 19960405 report Denver, CO USGS, BRD, Center for Biological Informatics This report was generated by the Nature Conservancy under contract to the USGS, BRD, CBI. http://www1.usgs.gov/vip/tuzi/tuzirpt.pdf paper 19950912 Ground Condition tuzi sampling and classification scheme This document provides the Field Key, the Vegetation categories, and the methodology used in the mapping process at Tuzigoot National Monument. AIS (Aerial Information Systems) Unpublished Material photo 6720 mylar 19950912 photo date tuzi mylar overlays contains the photointerpretation information Karl Brown NPS, BRMD, Natural Resource Program Center 199705 report Denver, CO USGS, BRD, Center for Biological Informatics http://www1.usgs.gov/vip/tuzi/tuziaarpt.pdf Not applicable 199510 Ground Condition Analysis of Accuracy Assessment Procedures at Tuzigoot National Monument report of the accuracy assessment procedures at Tuzigoot National Monument USGS BRD Center for Biological Informatics Unpublished Material map Generated by Environmental Systems Research Institute, Inc. with a subcontractor; Aerial Information Systems, under contract to USGS BRD CBI. digital 19950912 photo date ESRI/AIS Vegetation map of Tuzigoot National Monument First version of Vegetation map of Tuzigoot National Monument The following describes the tasks performed and methodologies used by Aerial Information Systems (AIS) of Redlands CA, during the vegetation data compilation for Tuzigoot National Monument. AIS was responsible for the photointerpretation, data rectification, automation, and in conjunction with The Nature Conservancy (TNC), the National Classification assignment. DATA COLLECTION VISIT Data collection is the first step in the photointerpretation process. The goal is to collect and evaluate the data sources available for the park. This includes reviewing the imagery, basemaps, and supplemental collateral sources, e.g. existing vegetation maps, soil surveys, etc. The data collection visit to Tuzigoot National Monument occurred in March 1995. (Refer to the "Tuzigoot National Monument, AIS Data Collection Report" dated May 15, 1995 for more information.) The two day visit consisted of a project meeting with park personnel to discuss the National Vegetation mapping program and tour the Monument. During the meeting, existing photography, vegetation maps and geographical basemaps were reviewed and evaluated. Potential study area boundaries and the minimum mapping unit (mmu) were also discussed. The end result was the establishment of the digital orthophoto as the project basemap. The study area boundary was defined as the extent of the orthophoto image, and the mmu was set at 1/4 hectare. Project scale and aerial photography were to be determined after a review of existing 1992 aerial photography not available for the initial meeting. Upon evaluation of the 1992 photography it was decided that new imagery should be acquired for the photointerpretation effort. The resulting project photography was color-infrared (CIR) stereo-paired diapositives, average scale 1:6,720, flown during September 1995. The project scale was established at 1:6720. A duplicate set of photo prints was sent to TNC for use in their field sampling effort. DEVELOPMENT OF MAPPING CRITERIA The mapping criteria is a set of documented working decision rules to facilitate the maintenance of accuracy and consistency of interpretation in the database. They assist the user in understanding the characteristics, definition, and context for each vegetation category. A field reconnaissance visit is performed to familiarize the photointerpreters with the vegetation types and their photo signatures prior to the actual mapping process. The reconnaissance is an important step in the development of the photointerpretation criteria and signature key. For the Tuzigoot mapping effort, the field reconnaissance task was not performed. Due to the small size of the study area, it was decided that enough information had been gathered during the initial visit to proceed with the photointerpretation process. The mapping criteria was developed using the standard mapping conventions as a base. Additions to the criteria pertaining to specific situations found at the Monument are described below. Gutierrezia sarothrae, classified as a sub-shrub, was placed in the herbaceous stature category. Prosopis velutina, which can occur as either a tree or a shrub, was mapped in both the tree stature and shrub stature categories. The tree form of Prosopis was mapped in the toeslope and bosque areas, while the shrub form was mapped in the drier desert plain locations. 1995 tuzi sampling and classification scheme tuzi CIR Aerial Photography Aerial Information Systems Physical Address Redlands CA Unknown USA Unknown The following continues to describe the tasks performed and methodologies used by Aerial Information Systems (AIS) during the vegetation data compilation for Tuzigoot National monument. PHOTOINTERPRETATION OF VEGETATION: Photointerpretation is the process of identifying map units based on their photo signature. All land cover features have a photo signature. These signatures are defined by color, texture, pattern, and tone on the aerial photography. By observing the context and extent of the photo signatures associated with specific vegetation types, the photointerpreter is able to identify and delineate the boundaries of the vegetation. Additional collateral sources, e.g. existing vegetation map, supplemental photography, soil data, etc., can be of great utility to the photointerpreter. Understanding the relationship between the vegetation and the context in which they appear is very useful in the interpretation process. Familiarity with regional differences also helps interpretation by establishing a context for a specific area. At Tuzigoot National Monument, the photointerpretation was done using a stereoscope to view the CIR stereo-paired diapositives. The delineations and codes representing the vegetation categories were annotated directly onto a mylar overlay registered to the CIR image. The delineations and codes were edgematched between photos to ensure a seamless coverage in the database. Any uncertain interpretations were flagged on the mylar overlay for review during the quality control step. QUALITY CONTROL OF PHOTOINTERPRETATIONS: A quality control step is performed after the photointerpretation task to ensure the accuracy and consistency of the interpretations. Once the initial mapping was completed for the Monument, the photo overlays with the delineations and attributes were given to senior interpreters for review and comment. The interpreted overlays were checked for completeness, consistency, and adherence to the mapping criteria and guidelines. For those polygons flagged by the photointerpreter, the reviewer either assigned the appropriate vegetation code or left the polygon flagged for field verification. FIELD VERIFICATION: The field verification task ensures that the data layer produced is as error free as possible. The photos and interpreted mylar overlays are taken into the field by the photointerpreters. During the on-site visit, map units flagged during the photointerpretation effort are reviewed in the field and the necessary changes and corrections are made directly onto the photo overlays. At Tuzigoot National Monument, the field verification task was conducted over a three day period concurrent with TNC's field sampling effort in the latter part of October 1995. tuzi CIR Aerial Photography 1995 tuzi mylar overlays Aerial Information Systems Physical Address Redlands CA Unknown USA Unknown In conjunction with the photoverification and field sampling effort, NBS (now USGS, BRD, CBI) personnel performed a locational accuracy test comparing the accuracy of a global positioning system (GPS) versus manual location techniques. The TNC biologist "pin-pricked" all of the sample site locations onto the aerial photos while the NBS staff captured the location using GPS. The "pin-pricked" locations were subsequently input into the GIS database for comparison against the GPS locations for the same site. tuzi CIR Aerial Photography 199510 Analysis of Accuracy Assessment Procedures at Tuzigoot National Monument NPS Biological Resource Management Division, Natural Resource Management Center Karl Brown Mailing Address

NPS

BRMD, Natural Resource Program Center

1201 Oakridge Drive, Suite 200

Fort Collins Colorado 80525 USA (970)225-3591 (970)225-3585 Karl_Brown@nps.gov The following continues to describe the tasks performed and methodologies used by Aerial Information Systems (AIS) during the vegetation data compilation for Tuzigoot National monument. DATA CONVERSION: Typically, the first step of the data conversion process is the manual rectification of the delineations from the unrectified aerial photos to a hardcopy of the project basemap. However, the hardcopy orthophoto for Tuzigoot was of such coarse resolution that manual rectification was impossible. The manual rectification task was bipassed and the delineations were manuscripted directly from the non-rectified photos and scanned. The scanned images were then rectified to the digital orthophoto image in the computer. The computer rectification process included three major steps; the initial transformation where geographic coordinates were assigned to the data. This step involved picking a set of control points that corresponded to both the orthophoto image and the aerial photography. The second and third steps consisted of "refining" the rectified data. The second step consisted of selecting numerous "link" points in the computer over the entire study area to further tie the vegetation units to the orthophoto image. The third and final step was to locally adjust the vegetation units to the orthophoto image by repeating the "link" points procedure over small areas of the image. One of the biggest challenges encountered during the Tuzigoot mapping project was the computer rectification of the delineations. The reason for this was the CIR imagery and the orthophotos were not concurrent with one another: the CIR imagery was taken in 1995; the orthophoto was created from imagery taken in 1992. Even under normal circumstances it is difficult to correlate between imagery taken in different years or even different seasons in some instances. However, the rapidly changing environmental conditions compounded the problem at Tuzigoot. For example; due to recent flooding, the Verdy River has moved northward in the last three years. It's location was mapped according to the 1995 image which does not match the position of the river on the orthophoto. The user needs to be aware of the impact regarding this situation. Any questions regarding the delineation of vegetation polygons should be referenced back to the 1995 CIR imagery, not the orthophoto basemap. The next task was to join the attribute data to the spatial information in the computer. Normally, this step is done prior to scanning and the spatial and attribute data are joined together during the automation process. In order to input the attribute codes for Tuzigoot, a plot was created of the vegetation delineations. The attribute data was transferred from the photo overlays to a mylar overlay code sheet (CS) registered to the plot. Each polygon was assigned a unique sequence number identification. The attributes were keypunched into a spreadsheet format and then joined with the spatial data in the GIS. The attribute and spatial data were QC'd for accuracy and completeness of input. Edit plots were created for the vegetation delineations, the height, density and floristic composition characteristics and compared back to the original delineations and CS. Corrections were made as needed and input into the computer. A final quality control of the photointerpretation was performed by creating a "consist" program. The program pulled out inconsistencies in attribute coding, e.g. if tree taxa was listed for a polygon and there was no height/density attributes assigned, it would be flagged for investigation and correction. CONVERSION OF PHOTO PRIMITIVES TO THE NATIONAL CLASSIFICATION: The final step of the mapping process is the conversion of the photo primitives to the National Classification. Once the photo primitives were input into the GIS, they were converted to the National Classification through ecologist supported computer modeling techniques. Using field sample site information, the Alliance/Association classes were extrapolated to polygons sharing like aspects in the same regional area. A preliminary vegetation map was created and then reviewed by TNC field biologists for accuracy. If necessary, revisions to the delineations or the computer model were made and another map was produced for review. This process was repeated until the TNC biologists approved of all classification assignments. The photo primitives mapped for Tuzigoot National Monument were converted to the national Classification during a two day meeting at AIS. A preliminary vegetation map with the national Classification designations and sample site locations was produced using computer modeling techniques. TNC, working in conjunction with AIS, reviewed the preliminary map by comparing it back to the CIR photos and TNCs field data sheets. Additional delineations were added to the database, separating the classes on the basis of abiotic factors, e.g. landform type and past environmental conditions. The computer model was adjusted and another map was created, reviewed, and revised, using the same methodology as described above. In all, there were five iterations of this process before the final classification assignments were completed. as a result of this process, the National Classification for the Monument was revised to include four additional classes. tuzi mylar overlays tuzi orthophoto 1995 ESRI/AIS Vegetation map of Tuzigoot National Monument Environmental Systems Research Institute, Inc. (ESRI) Mailing and Physical Address

380 New York Street

Redlands California 92373-8100 USA (909)793-2853 The mapped data were revised by USGS BRD CBI personnel using data collected during accuracy assessment field work. As a result 50 polygons were reclassified. A contradictory classification in understory vegetation in woodland types resulted from comparison of the photographic examination with field-collected data. The accuracy assessment data, collected on the ground, were selected in preference to the original mapped data. ESRI/AIS Vegetation map of Tuzigoot National Monument 1997 NPS Natural Resource Program Center Karl Brown Physical & Mailing Address

NPS

BRMD, Natural Resource Program Center

1201 Oakridge Drive, Suite 200

Fort Collins Colorado 80525 USA (970) 225-3591 (970) 225-3585 Karl_Brown@nps.gov 0 < = Cloud Cover < = 100 The Ecology Field Sites were digitized to indicate the area for which a TNC ecologist conducted an ecological field sampling. Vector G-polygon 205 Universal Transverse Mercator 12 0.999600 -111.000000 0.000000 500000.000000 0.000000 Coordinate Pair 1 1 Meters North American Datum of 1983 Geodedic Reference System 80 6378137.000000 298.257222 tuziveg Shapefile attribute table USGS FID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. Shape Feature geometry. ESRI Coordinates defining the features. AREA Area of feature in internal units squared. ESRI Positive real numbers that are automatically generated. PERIMETER Perimeter of feature in internal units. ESRI Positive real numbers that are automatically generated. VEG_ Internal feature number. ESRI. Sequential unique whole numbers that are automatically generated. VEG_ID User-defined feature number. ESRI. Sequential unique whole numbers that are automatically generated. CODE Map Class Code USGS Textual map code. DESCRIPTIO Map Class Description Name USGS Textual map description. ACRES Area (unknown units) ESRI Positive real numbers that are automatically generated. ACRES Area (unknown units) ESRI Positive real numbers that are automatically generated. The system is organized hierarchically to support conservation and resource stewardship applications across multiple scales. The upper levels of the hierarchy are based on the physical form or structure of the vegetation (physiognomy) and have been refined from the international standards developed by the United nations Educational, Scientific, and Cultural Organization (UNESCO). The two most detailed levels of the hierarchy are based on the species composition of existing vegetation (floristics) and reflect the phyto-sociological standards that were originally developed by European ecologists. The vegetation classification is continually advanced through the collection and analysis of new field data and will be greatly strengthened during the course of the NBS/NPS mapping efforts. Data file attributes include vegetation height, density, species, alliance, community element, and land cover. LAYER CHARACTERISTIC CODES: STATURE (1 digit) 1=Tree 2=Shrub 3= Herbaceous 8=Water 9=Land Use / Unvegetated HEIGHT (1 digit) 1=<0.5 meters 2=0.5-2 meters 3=2-5 meters 4=5-15 meters 5=15-35 meters 6=35-50 meters 7= >50 meters 9=Not Applicable ABSOLUTE CROWN DENSITY (1 digit) 1=Closed/Continuous: >60% 2=Discontinuous: 40% - 60% 3=Dispersed: 25% - 40% 4=Sparse: 10%-25% 5=Rare: 2% - 10% 9=Not Applicable FLORISTIC COMPOSITION: TREES (3 digits) (Up to three floristic composition types per layer) 01=Populus fremontii (Fremont's cottonwood) 02=Celtis reticulata (Hackberry) 03= Quercus turbinella (Oak) 04=Salix gooddingii (Gooding's willow) 05=(Not used) 06=Prosopis Velutina (Mesquite) 08=Dead 09=Unvegetated W=Water body SHRUBS/VINES DWARF SHRUBS (3 digits) (Up to three floristic composition types per layer) 01=Acacia greggii (Catsclaw acacia) 02=Atriplex canescens (Four-winged saltbush) 03=Baccharis salicifolia (Seep willow) 04=Canotia holocantha (Crucifixion thorn) 05=Chilopsis linearis (Desert Willow) 06=(Not used) 07=(Not used) 08=Krameria parvifolia (Range ratany) 09=Larrea divaricata (Creosote bush) 10=Mahonia trifoliata (Barberry) 11=Parthenium incanum (Mariola) 12=Prosopis velutina (Mesquite) 13=(Not used) 14=(Not used) 15=Shrubs 16=Juniperus spp. (Juniper) 17=Eriogonum deflexum (Flat-top buckwheat) 18=(Not used) 19=Celtis reticulata (Desert hackberry) 88=Dead 99=Unvegetated W=Water HERBACEOUS (6 digits) (Up to three floristic composition types per layer) 01=Ambrosia ancanthicarpa (Ragweed) 02=Aristida purpurea (Purple three-awn) 03=Cynodon dactylon (Bermuda grass) 04=Cirsium spp. (Prickly thistle) 05=Distichlis stricta (Saltgrass) 06=Aquatic 07=Graminoid (dry) 08=Graminoid (wet) 09=Kochia scoparia (Fireweed) 10=Muhlenbergia asperifolia (Alkalai muhly) 11=Muhlenbergia porteri (Bush muhly) 12=Salsola kali (Tumbleweed) 13=Scirpus validus (Bulrush) 14=Solanum douglassi (Nightshade) 15=Typha angustifolia (Cattails) 16=Forbs >than .5 m in height 17=Eleocharis parishii (Spike rush) 18=Hordeum jubatum (Foxtail barley) 19=Gutierrezia sarothrae (Snakeweed) 20=Eragrostis lehmanniana (Lehmann's lovegrass) 88=Dead 99=Unvegetated W=Water LAND USE (3 digits) 100=Urban or Built-Up 110=Residential 120=Commercial and Services 130=Industrial 140=Transportation, Communications, and Utilities 150=Mixed Commercial and Industrial 160=Mixed Urban 170=Under Construction 180=Open Space and Recreation 190=Vacant within Urban Context 200=Agriculture 300=Mining 400=National Park/Monument Facilities 401=Visitors Center 402=Road 403=Parking Area 404=Archaeological Site 405=Residence 500=Water 600=Vacant NATIONAL VEGETATION CLASSIFICATION FOR TUZIGOOT NATIONAL MONUMENT 100=Populus fremontii Alliance 101=Populus fremontii/Salix gooddingii Association 102=Populus fremontii/Prospis velutina Association 103=Populus fremontii/Hordeum jubatum Association 110=Juniperus erythrocarpa Alliance 111=Juniperus erythrocarpa/Canotia holocantha Association 120=Celtis reticulata Alliance 121=Celtis reticulata/Quercus turbinella Association 130=Canotia holocantha Alliance 131=Canotia holocantha/Aristida purpurea Association 140=Larrea tridentata Alliance 141=Larrea tridentata/Aristida purpurea Association 150=Chilopsis linearis Alliance 160=Atriplex canescens Alliance 161=Atriplex canescens/Muhlenbergia porteri Association 170=Prosopis velutina Alliance 171=Prosopis velutina/Hordeum jubatum Association 172=Prosopis velutina/Celtis reticulata Association 173=Prosopis velutina/Distichlis stricta Association 174=Prosopis velutina/Gutierrezia sarothrae Association 180=Aristida purpurea Alliance 181=Aristida purpurea/Krameria parvifolia Association 190=Typha angustifolia Alliance 200=Cynodon dactylon Alliance 210=Muhlenbergia asperifolia Alliance 211=Muhlenbergia asperifolia/Eleocharis parishii Association 220=Eragrostis lehmanniana Alliance 230=Short perennial forb form 231=Short perennial forbs (semi-natural) 232=Short perennial forbs (semi-cultivated) 240=Herbaceous vegetation - annual graminoids or forbs 250=Intermittently flooded cold-deciduous shrubland Grossman, D. Et al. 1994. National Park Service/ National Biological Service Vegetation Mapping Project, Standardized National Vegetation Classification System 209 pp. USGS/CSS/Core Science Analytics and Synthesis USGS-NPS Vegetation Characterization Program Coordinator mailing and physical address

Denver Federal Center, Building 810, MS 302

Denver Colorado 80225 (303) 202-4220 303-202-4219 gs-b-npsveg@usgs.gov Downloadable Data. tuzi Veg map. The U.S. Geological Survey and the National Park Service shall not be held liable for improper or incorrect use of the data described and/or contained herein. These data and related graphics (if available) are not legal documents and are not intended to be used as such. The information contained in these data is dynamic and may change over time. The data are not better than the original sources from which they were derived. It is the responsibility of the data user to use the data appropriately and consistent within the limitations of geospatial data in general and these data in particular. Any related graphics (if available) are intended to aid the data user in acquiring relevant data; it is not approriate to use the related graphics as data. The U.S. Geological Survey and the National Park Service gives no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data. It is strongly recommended that these data are directly acquired from an U.S. Geological Survey and National Park Service servers and not indirectly through other sources which may have changed the data in some way. Although these data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the utility of the data on another system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. This disclaimer applies both to individual use of the data and aggregate use with other data. It is also strongly recommended that careful attention be paid to the contents of the metadata file associated with these data. Mention of trade names or commercial products in this metadata report does not constitute endorsement or recommendation for use by the U. S. Department of the Interior, U. S. Geological Survey and National Park Service. HTML http://www.usgs.gov/core_science_systems/csas/vip/parks/tuzi.html Internet Access none 19960701 20100616 USGS/CSS/Core Science Analytics and Synthesis USGS-NPS Vegetation Characterization Program Coordinator mailing and physical address

Denver Federal Center, Building 810, MS 302

Denver Colorado 80225 (303) 202-4220 303-202-4219 gs-b-npsveg@usgs.gov FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata FGDC-STD-001.1-1999 http://www.usgs.gov/core_science_systems/csas/metadata/index.html