Data collected with the GeoXT Trimble GPS unit using ArcPad 6.1. (summer 2006-2007). Files were created within a geodatabase to create a data dictionary for use in ArcPad during data collection. Drop down lists for habitat type, substrate, depth, width, length, and descriptions were included. Data files produced on theGeoXT were point shapefiles that could be checked back into the geodatabase and viewable as a layer. Points were gathered while canoeing along the South Fork Shenandoah River. Each location marked a change in meso-scale habitat type. GPS points were supplemented with GIS-derived points in areas where manual measurements were made. The points were used to generate a line coverage. This coverage represents physical habitat at a meso-scale (width of stream).

Woody plants in watersheds 1D, 20B, and 4B were mapped using ArcPad 10.2 software on Trimble Juno 3B GPS units. The maximum PDOP was set at 2.5 meters and number of positions to average were set at 5 points and 5 vertices. Technicians completed mapping systematically using a 25-meter by 25-meter grid displayed on their GPS units and a printed map. This grid subdivided each watershed into manageable plots. To track progress throughout each watershed, the grid on the printed map was shaded once all woody plants in each plot were mapped. All trees were mapped and identified to species with a point marked at the tree’s trunk. Each tree’s height was estimated using these categories:Less than 1 meter, 1 to 3 meters, 3 to 5 meters, and Greater than 5 metersEight shrub species were mapped:False indigo bush (Amorpha fruticosa), Rough-leaf dogwood (Cornus drummondii), Pale dogwood (Cornus obliqua), American plum (Prunus americana) , Chicksaw plum (Prunus angustifolia), Aromatic sumac (Rhus aromatica), Smooth sumac (Rhus glabra), and Pricklyash (Zanthoxylum americanum)Shrubs were mapped as either polygons or points depending on size. If a shrub was less than a meter at its widest point, it was marked as a point at the plant’s center and its dimensions were estimated. If greater than a meter wide, the technician walked the plant’s perimeter and obtained a polygon for the shrub.For mapping trees, sometimes the GPS lost its signal under the tree canopy or it was impossible to reach the trunk of the tree (due to low growing branches or dense shrubs). In these situations, a point was taken as close to the tree as the GPS signal allowed or technician could reach. The technician documented about how many feet and which direction the point needed to be moved. Once back in the lab, the point was moved manually in Esri’s ArcMap software based on notes taken in the field.

description: Funding from this grant will allow for the purchase of biocontrol agents and chemicals to facilitate the rapid response phase of the project and to provide match for a Washington Service Corps AmeriCorps members. With proceeds from this grant , two additional Trimble GEOXM GPS units were purchased as were two copies of ArcPad in order to expand the refuge s Early Detection Rapid Response Program (EDRPP). Weed surveys were conducted by AmeriCorp and SCA volunteers in the North Camas Canyon, Howellia_A, and Stubblefield Units in August. As part of the EDRPP refuge volunteers continue a systematic survey of the refuge using a 50 meter point grid. Volunteers navigate to each point and collect information on the presence and abundance of 25 weed species within a 0.10 acre plot. Additional points and area features are mapped when any of ten, class A weed species are encounteredbetween points. Approximately 1200 points were sampled on the 50 meter point grid representing around 685 acres. The survey work resulted in the location of yellow starthistle in the Stubblefield Unit which is the first time it has been seen on the refuge. The entire infested area was mapped and it was sprayed this fall with a preemergent herbicide. A portion of this grant was used to purchase additional chemicals for treating new infestations located and past areas mapped to maintain control. Nearly 200acres of the refuge were treated this year with herbicides, mowing and hand pulling to control invasive species.; abstract: Funding from this grant will allow for the purchase of biocontrol agents and chemicals to facilitate the rapid response phase of the project and to provide match for a Washington Service Corps AmeriCorps members. With proceeds from this grant , two additional Trimble GEOXM GPS units were purchased as were two copies of ArcPad in order to expand the refuge s Early Detection Rapid Response Program (EDRPP). Weed surveys were conducted by AmeriCorp and SCA volunteers in the North Camas Canyon, Howellia_A, and Stubblefield Units in August. As part of the EDRPP refuge volunteers continue a systematic survey of the refuge using a 50 meter point grid. Volunteers navigate to each point and collect information on the presence and abundance of 25 weed species within a 0.10 acre plot. Additional points and area features are mapped when any of ten, class A weed species are encounteredbetween points. Approximately 1200 points were sampled on the 50 meter point grid representing around 685 acres. The survey work resulted in the location of yellow starthistle in the Stubblefield Unit which is the first time it has been seen on the refuge. The entire infested area was mapped and it was sprayed this fall with a preemergent herbicide. A portion of this grant was used to purchase additional chemicals for treating new infestations located and past areas mapped to maintain control. Nearly 200acres of the refuge were treated this year with herbicides, mowing and hand pulling to control invasive species.

Very little information is known about the distribution and abundance of snow petrels at the regional scale. This dataset contains locations of bird nests, mostly snow petrels, mapped in the Windmill Islands during the 2002-2003 season. Location of nests were recorded with handheld GPS receivers connected to a pocket PC and stored as a shapefile using Arcpad (ESRI software). Descriptive information relating to each bird nest was recorded and a detailed description of data fields is provided in the detailed description of the shapefiles.

Two observers conducted the surveys using distinct methodologies, Frederique Olivier (FO) and Drew Lee (DL). Three separate nest location files (ArcView point shapefiles) were produced and correspond to each of the survey methodologies used. Methodology 1 was the use of 200*200 m grid squares in which exhaustive searches were conducted (FO). Methodology 2 was the use of 2 transects within each the 200*200 m grid squares; methodology 3 was the use of 4 small quadrats (ca 25 m) located within the 200*200m grid squares (DL). Nests mapped in a non-systematic manner (not following a specific methodology) are clearly identified within each dataset. Datasets were kept separate due to the uncertainties caused by GPS errors (the same nest may have different locations due to GPS error).

Three separate shapefiles describe survey methodologies:

• one polygon shapefile locates the 200*200 grid sites searched systematically (FO)

• one polygon shapefile locates the small quadrats (DL)

• one line shapefile locates line transects (DL)

Spatial characteristics, date of survey, search effort, number of nests found and other parameters are recorded for the grid sites, transect and quadrats.

See the word document in the file download for more information.

This work has been completed as part of ASAC project 1219 (ASAC_1219).

The fields in this dataset are:

Species

Activity

Type

Entrances

Slope

Remnants

Latitude

Longitude

Date

Snow

Eggchick

Cavitysize

Cavitydepth

Distnn

Substrate

Comments

SitedotID

Aspect

Firstfred

Systematic/Edge/Incidental

RecordCode

This feature layer includes both stormwater conveyances (pipes, ditches, swales, etc) as well as structures (inlets, manholes, pipe outlets, catch basins, etc). It is updated on a monthly basis with the last update occurring on 7/29/21.Description: A structure represents MS4 structure componenets comprising of point features including inlets, catch basins, junction boxes, and pipe outlets designed to to manage and safely direct storm runoff from roadways and GDOT facilities.Location Methodology: MS4 data is collected using Trimble sub-meter GNSS receivers which utilize WAAS and\or Trimble RTX which work in conjunction with ESRIs ArcPad field data collection software.This storm water inventory data has been collected by Arcadis US for the Georgia Department of Transportation. Arcadis US 2410 Paces Ferry Rd SE, Suite 400 Atlanta, GA 30339 (770) 431-8666 MS4 Project Georgia Department of Transportation 600 West Peachtree St NW Atlanta, GA 30308 (404) 631-1990

Woody plants in watersheds 1D, 20B, and 4B were mapped using ArcPad 10.2 software on Trimble Juno 3B GPS units. The maximum PDOP was set at 2.5 meters and number of positions to average were set at 5 points and 5 vertices. Technicians completed mapping systematically using a 25-meter by 25-meter grid displayed on their GPS units and a printed map. This grid subdivided each watershed into manageable plots. To track progress throughout each watershed, the grid on the printed map was shaded once all woody plants in each plot were mapped. All trees were mapped and identified to species with a point marked at the tree’s trunk. Each tree’s height was estimated using these categories:Less than 1 meter, 1 to 3 meters, 3 to 5 meters, and Greater than 5 metersEight shrub species were mapped:False indigo bush (Amorpha fruticosa), Rough-leaf dogwood (Cornus drummondii), Pale dogwood (Cornus obliqua), American plum (Prunus americana) , Chicksaw plum (Prunus angustifolia), Aromatic sumac (Rhus aromatica), Smooth sumac (Rhus glabra), and Pricklyash (Zanthoxylum americanum)Shrubs were mapped as either polygons or points depending on size. If a shrub was less than a meter at its widest point, it was marked as a point at the plant’s center and its dimensions were estimated. If greater than a meter wide, the technician walked the plant’s perimeter and obtained a polygon for the shrub.For mapping trees, sometimes the GPS lost its signal under the tree canopy or it was impossible to reach the trunk of the tree (due to low growing branches or dense shrubs). In these situations, a point was taken as close to the tree as the GPS signal allowed or technician could reach. The technician documented about how many feet and which direction the point needed to be moved. Once back in the lab, the point was moved manually in Esri’s ArcMap software based on notes taken in the field.

For animals with spatially complex behaviours at relatively small scales, the resolution of a global positioning system (GPS) receiver location is often below the resolution needed to correctly map animals’ spatial behaviour. Natural conditions such as canopy cover, canyons or clouds can further degrade GPS receiver reception. Here we present a detailed, high-resolution map of a 4.6 ha Neotropical river island and a 8.3 ha mainland plot with the location of every tree >5 cm DBH and all structures on the forest floor, which are relevant to our study species, the territorial frog Allobates femoralis (Dendrobatidae). The map was derived using distance- and compass-based survey techniques, rooted on dGPS reference points, and incorporates altitudinal information based on a LiDAR survey of the area.

The weeks following the firestorms that struck Canberra on 18 January provided the former Cities Project with a unique opportunity to collect crucial data concerning building damage and fire behaviour. The data provides information about the impact of this disaster and will assist with accurate modelling of future events and their consequences. Using Global Positioning System (GPS) units, digital cameras and palmtop computers with ArcPad GIS, comprehensive information was recorded on 431 suburban properties that suffered damage to the primary residence by fire and/or wind. Over one thousand photos were also taken and linked to the GIS database.