Collection of layers used to map stormwater data. BMP stands for Best Management Practice. Municipal Separate Storm Sewer Systems is the abbreviation for MS4.

Digital Data from VG98-330A Ratcliffe, N.M., and Walsh, G. J., 1998,�Digital and preliminary bedrock geologic map of the Mount Carmel quadrangle, Vermont: USGS Open-File Report 98-330-A, 1 plate, scale 1:24000. The bedrock geologic map data at a scale of 1:24,000 depicts types of bedrock underlying unconsolidated materials in Vermont. Data is created by mapping on the ground using standard geologic pace and compass techniques and/or GPS on a USGS 1:24000 topographic base map. Data may be organized by town, quadrangle or watershed. Each data bundle may includes point, line and polygon data and some or all of the following: 1) contacts (lithogic contacts), 2) fault_brittle, 3) fault_ductile, 4) fault_thrust, 5) fault_bed_plane (bedding plane thrust), 6) bedding, 7) bedding_graded (graded bedding) 8) bedding_overturn (overturned bedding), 9) bedding_select (selected points for published map), 10) foliation_n1, n2, n3 etc (foliation data), 11) outcrop (exposed outcrops), 12) field_station (outcrop and data collection point), 13) fold_axis, 14) axial_plane, 15) lamprophyre, 16) water_well_log (water well driller information), 16) linear_int (intersection lineation), 17) linear_str (stretching lineation) 18) x_section_line (line of cross-section), and photolinear (lineaments identified from air photos). Other feature classes may be included with each data bundle. (https://dec.vermont.gov/geological-survey/publication-gis/ofr).

Collection of layers used to map stormwater data. BMP stands for Best Management Practice. Municipal Separate Storm Sewer Systems is the abbreviation for MS4.

This feature class was developed primarily in support of the County's parcel mapping needs which include assessment functions and spatial analysis. The information was compiled from a number of sources including recorded deeds, filed maps, surveys and other public records and data. Users of this data should consult the information sources listed above for verification of the information.

Quantitative assessment of berry production for mistletoe, coffee berry, Toyon, and Chaparral honeysuckle on Rana Creek Ranch and Hastings Reservation, with a focus on the phenology of berry production.

2' elevation contours for Carmel Twp., Eaton County, Michigan, USA. These are derived from a 4ft DEM built from our 2010 Lidar flight.

This document is an Elevation Certificate that represents the given Address listed in the title of the document. Some may vary in appearance due to age and documentation updates.

2' elevation contours for Carmel Twp., Eaton County, Michigan, USA. These are derived from a 4ft DEM built from our 2010 Lidar flight.

Ground survey route covered by NTP team for the August 27, 2020, Mt Carmel, ON event. Ground survey conducted August 28, 2020. Survey route tracked by iPads while surveying in car and on foot. View event map here

Additional photos collected via drone for the August 27, 2020, Mount Carmel, ON tornado. Ground survey conducted August 28, 2020. DJI Mavic 2 Pro used to capture 38 photos. Does not include videos or drone mapping photos [where applicable].View event map here

Flight paths of drone surveys used to capture imagery and video for the August 27, 2020, Mount Carmel, ON tornado. Ground survey conducted on August 28, 2020. DJI Mavic 2 Pro performed 5 flights. Please note that drones are also used for scouting the initial area of interest using a live view on the controller, meaning that some flight paths may not be associated with any imagery.View event map here

Event summary map for the August 27, 2020, Mount Carmel, ON tornado. Ground survey conducted August 28, 2020. Map includes ground survey photos, survey route, drone photos, drone flight paths, worst damage point, and tornado centreline.

The CAWD GIS was built using local Geographic Information Systems (GIS) and Global Positioning Systems (GPS). Information provided may be used with the consent of the Carmel Area Wastewater District (CAWD). The map is distributed "AS - IS" without any warranties of any kind. This map is intended as a graphical representation of field conditions; the actual location of features in the field may differ from the depiction on the maps.

Attachment regarding public hearing for a conditional use permit by Rocky McCampbell on Parcel No. 64812 located at 1115 Mt. Carmel Church Rd., for a dog grooming business on approximately 1 acre.

Ramat Hanadiv is located in the southern edge of Mount Carmel, at an elevation of about 120 meters above sea level. This area, which is built mainly of hard, stratified rocks, is positioned above the coastal plane, in contrast to the hilly and steep topography of its surroundings. The rock of Mount Carmel are mainly dolomits, limestones, chalk and marls from the Albian-Turonian Judean Group. Laterl facies changes and extensive volcanics are typical to this Carmel section. At Ramat Hanadiv three formations were mapped: Zikhron formation: dolomite and dolomitised barrier reef. Shfeya volcanics: volcanic, marly tuff. Shune formations: dolomite, limestone. East and south of Ramat hanadiv the Judea Group is uncomformably overlaid by chalk and marl from the Senonian-Eocene Mt. Scopus and Avdat Groups. West of Ramat Hanadiv the Judea Group dolomite and limestone is unconformably overlaid by the Pleistocene calcitic sandstone of the Kurkar group. The Southern Carmel ridge is north-south directed anticline of which only the eastern side is exposed. Two main fault systems are known in the area: A. Ramat Hanadiv faults are north-south, mainly left, lateral strike slip faults which directs structural erosion depressions. B. Binyamina-Or Akiva faults are deep buried east-west normal faults, south of Ramat Hanadiv. Ramat Hanadiv is located near the Timsach Springs, the major karstic outlet of a regional aquifer of Judea group. One local, seasonal spring, named Ein Zur, is located in Ramat Hanadiv and is a result of local lithology and structure. Marly tuff layer stops the fast vertical drainage of rain and irrigation water from Hanadiv Gardens. The down slope flow comes to the surface as the tuff crops out at Ein Zur. The present morphology and topography of Ramat Hanadiv is a result of Neogene and Pleistocene lift up and different erosion processes. The western cliff and elevated Ramat Hanadiv plain are products of paleocoastal abrasion. The mild eastern slope was formed by preferred surface and channel erosion of soft chalk and marl of the Mt. Scopus and Avdat groups. Karst erosion is the major recent geomorphic process.Download dataset from Ramat Hanadiv Open Data site

The study area for this project was Garrapata State Park in northwestern Monterey County, California. Development of Garrapata State Park land by Spanish missionaries began in the late 1700s (Costanoan Rumsen Carmel Tribe 2001). Cattle ranching on the land began in the 1830s with land grants to ranchers, beginning a long stint of grazing on most of the land south of the Carmel River. In 1980, the state of California began purchasing parcels of land and the area was officially classified as a state park in 1985 (Garrapata State Park Monterey Sector 2003).Garrapata State Park encompasses 2,866 acres along the pacific coast, immediately south of Carmel Highlands. The area is largely dominated by steep foothills of the coastal Santa Lucia Range and is dissected by several steep creeks: Wildcat Creek, Malpaso Creek, Soberanes Creek, Doud Creek and Granite Creek. Elevation ranges from sea level to 2,011 ft atop Rocky Ridge. The park also contains an approximately 4.1-mile stretch of coastal bluff, rocky intertidal zone, and beach west of Highway. The park''s Mediterranean climate is characterized by dry summers and cool wet winters and receives approximately 28 inches of mean annual precipitation (PRISM 2012). Wildfire is a prominent disturbance in this landscape; the Soberanes Fire which began in Garrapata State Park in 2016 was one of the largest fires recorded in California history, burning 132,127 acres (CAL Fire 2016).The National Vegetation Classification System allows vegetation to be mapped at three broad levels— physiognomy, biogeography, and floristics—each of which can be broken down into multiple sublevels (USNVC 2020). Floristic-level mapping provides the finest resolution and is the only level to reflect local environmental conditions. Such fine-scale data resolution helps establish a more precise inventory of native and non-native vegetation communities, which benefits land managers interested in protecting valued natural resources, monitoring fuel loads for fire management, and understanding habitat requirements of wildlife. We attempted to map vegetation communities to the alliance sublevel, which is the broadest sublevel at the floristic level of mapping. We did not attempt to map associations, which occur at the level below alliances.Vegetation community mapping comprised preliminary delineation of somewhat homogeneous vegetation stands, field-based classification of alliances and other mapping units, and quality assurance. We first estimated the boundaries of stands using aerial and satellite-derived orthoimagery which were later classified through field observations. Most of the stands we mapped were conformant with previously defined alliances. Non-conformant stands were classified within novel mapping units, defined in Appendix B. We also used novel mapping units for two situations where the exact alliance could not be readily determined in fall; these classes were “Willows” and “Unidentified annual grasses”.We examined aerial and satellite imagery to initially digitize polygons around areas where vegetation looked homogenous and distinct from surrounding areas. We used a mosaic of natural color (red, green, blue [RGB] band) and color infrared (CIR) National Agriculture Imagery Program (NAIP) orthophotos to conduct initial digitizing of vegetation alliance polygons. Polygons were delineated based on areas of visible homogeneity within the landscape; breaks or abrupt changes in color, structure, or relative height of vegetation usually indicated the need to create separate vegetation community polygons. We established minimum mapping units (MMUs) of 0.25 acres for common mapping units and 0.1 acres for uncommon classes, to maximize the level of detail conveyed in vegetation maps given time constraints and clarity of aerial and satellite imagery. The status of each vegetation community polygon was indicated as “unconfirmed” until field crews verified whether initial delineations were correct.Polygons were classified based on the dominant species composition of each polygon. Classification rules were based on rules provided by CNPS, and where rules contradicted each other, we adopted a rule based on either the most recent or the most locally relevant CNPS-listed rule. Most rules were based on the percent cover of the tallest stratum of vegetation. Rules for novel mapping units were that the nominate dominant species should have 50% relative cover.The vegetation map was prepared for publication in California Department of Fish and Wildlifes Biogeographic Information and Observation System by staff from the Vegetation Classification and Mapping Program.