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2010 USDA Forest Service, Rocky Mountain Region Aerial Detection Survey Data. This data depicts the occurrence and location of forest insect, disease, and other biotic and abiotic causes of tree mortality and tree damage. Aerial survey data is collected by observing areas of tree damage or tree mortality from an aircraft and manually recording the information onto a map. Due to the nature of aerial surveys, this data will only provide rough estimates of location, intensity and the resulting trend information for agents detectable from the air. Many of the most destructive diseases are not represented in the data because these agents are not detectable from aerial surveys. The data presented should only be used as...
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Ducks and other waterfowl in the U.S. are valued and enjoyed by millions of birdwatchers, artists, photographers and citizens for their beauty and appeal. Waterfowl also provide game for hunters throughout the country and act as an important source of revenue for states and local communities. Loss of habitat and migration corridors due to land use changes and changes in climate threaten these birds, however more scientific information is needed to understand these processes. This project used available annual surveys of duck counts, along with data on the location and availability of ponds and temperature and precipitation patterns, to model where across the continental landscape waterfowl were present and if their...
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To provide information on what areas have a groupings of dead (red) pine trees which indicate a high likelyhood of green attack mountain pine beetle trees. This data is used to help focus ground survey work and is not 100% accurate. The current beetle year (August 15 to August 15) Mountain Pine Beetle aerial survey red tree locations. This data is used to help focus ground survey work and is not 100% accurate.
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This is part of a 3-tiered dataset consisting ofIDS_shapes: footprint polygon featuresIDS_attrib: attribute descriptions of polygonsIDS_rollup: lookup information for features that are summarized as a group (rollup)This dataset is a compilation of forest insect, disease and abiotic damage mapped by aerial detection surveys on forested areas in the United States. At this time, the National Aerial Survey Data Standards require only mortality and defoliation data be collected and reported. However, many cooperators collect data on other types of damage and therefore, the national database has been designed to accommodate these data. Low-level flights, typically 1,000 to 2,000 feet above ground level, are used to map...
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2010 USDA Forest Service, Rocky Mountain Region Aerial Detection Survey Data. This data depicts the occurrence and location of forest insect, disease, and other biotic and abiotic causes of tree mortality and tree damage. Aerial survey data is collected by observing areas of tree damage or tree mortality from an aircraft and manually recording the information onto a map. Due to the nature of aerial surveys, this data will only provide rough estimates of location, intensity and the resulting trend information for agents detectable from the air. Many of the most destructive diseases are not represented in the data because these agents are not detectable from aerial surveys. The data presented should only be used as...
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2010 USDA Forest Service, Rocky Mountain Region Aerial Detection Survey Data. This data depicts the occurrence and location of forest insect, disease, and other biotic and abiotic causes of tree mortality and tree damage. Aerial survey data is collected by observing areas of tree damage or tree mortality from an aircraft and manually recording the information onto a map. Due to the nature of aerial surveys, this data will only provide rough estimates of location, intensity and the resulting trend information for agents detectable from the air. Many of the most destructive diseases are not represented in the data because these agents are not detectable from aerial surveys. The data presented should only be used as...
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We surveyed fixed-width transects to determine waterbird distribution and estimate relative density. Transects generally paralleled shorelines to maximize efficiency and safety. Fixed-width transects were spaced at 3.2 and 4.8 km intervals and extended up to 32 km offshore so as to include waters with depth up to 80 m. Transects were established using snapPLAN software (TRACK’AIR Aerial Survey Systems, The Netherlands). Surveys were flown at an average ground speed of about 220 km/h at an altitude of about 61-76 m above the water using a US Fish and Wildlife Service fix-winged aircraft (Partenavia P68 Observer 2). Two trained observers, one on each side of the plane, identified and tallied waterbirds within 200...
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Feral burros (Equus asinus) and horses (E. ferus caballus) inhabiting public land in the western United States are intended to be managed at population levels established to promote a thriving, natural ecological balance. Like many large ungulate populations, management agencies employ aerial surveys to obtain estimates of horse and burro population sizes. Double-observer sightability (MDS) models perform well for estimating feral horse abundances, yet the effectiveness of these models for use in burro populations is less understood and may be different due to the smaller size, stoic behavior, and cryptic pelage of burros. These models help minimize detection bias, yet bias can be further reduced with models that...
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These data include image-based classifications of total vegetation from 1965, 1973, 1984, 1992, 2002, 2004, 2005, and 2009, and characteristics of the river channel along the riparian area of the Colorado River between Glen Canyon Dam and Lake Mead Reservoir.
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2010 USDA Forest Service, Rocky Mountain Region Aerial Detection Survey Data. This data depicts the occurrence and location of forest insect, disease, and other biotic and abiotic causes of tree mortality and tree damage. Aerial survey data is collected by observing areas of tree damage or tree mortality from an aircraft and manually recording the information onto a map. Due to the nature of aerial surveys, this data will only provide rough estimates of location, intensity and the resulting trend information for agents detectable from the air. Many of the most destructive diseases are not represented in the data because these agents are not detectable from aerial surveys. The data presented should only be used as...
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ADS Spruce Budworm Data. USDA Forest Service, Rocky Mountain Region Aerial Detection Survey Data. This data depicts the occurrence and location of forest insect, disease, and other biotic and abiotic causes of tree mortality and tree damage. Aerial survey data is collected by observing areas of tree damage or tree mortality from an aircraft and manually recording the information onto a map. Due to the nature of aerial surveys, this data will only provide rough estimates of location, intensity and the resulting trend information for agents detectable from the air. Many of the most destructive diseases are not represented in the data because these agents are not detectable from aerial surveys. The data presented should...
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2010 USDA Forest Service, Rocky Mountain Region Aerial Detection Survey Data. This data depicts the occurrence and location of forest insect, disease, and other biotic and abiotic causes of tree mortality and tree damage. Aerial survey data is collected by observing areas of tree damage or tree mortality from an aircraft and manually recording the information onto a map. Due to the nature of aerial surveys, this data will only provide rough estimates of location, intensity and the resulting trend information for agents detectable from the air. Many of the most destructive diseases are not represented in the data because these agents are not detectable from aerial surveys. The data presented should only be used as...
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This is part of a 3-tiered dataset consisting ofIDS_shapes: footprint polygon featuresIDS_attrib: attribute descriptions of polygonsIDS_rollup: lookup information for features that are summarized as a group (rollup)This dataset is a compilation of forest insect, disease and abiotic damage mapped by aerial detection surveys on forested areas in the United States. At this time, the National Aerial Survey Data Standards require only mortality and defoliation data be collected and reported. However, many cooperators collect data on other types of damage and therefore, the national database has been designed to accommodate these data. Low-level flights, typically 1,000 to 2,000 feet above ground level, are used to map...
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This is part of a 3-tiered dataset consisting ofIDS_shapes: footprint polygon featuresIDS_attrib: attribute descriptions of polygonsIDS_rollup: lookup information for features that are summarized as a group (rollup)This dataset is a compilation of forest insect, disease and abiotic damage mapped by aerial detection surveys on forested areas in the United States. At this time, the National Aerial Survey Data Standards require only mortality and defoliation data be collected and reported. However, many cooperators collect data on other types of damage and therefore, the national database has been designed to accommodate these data. Low-level flights, typically 1,000 to 2,000 feet above ground level, are used to map...
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2010 USDA Forest Service, Rocky Mountain Region Aerial Detection Survey Data. This data depicts the occurrence and location of forest insect, disease, and other biotic and abiotic causes of tree mortality and tree damage. Aerial survey data is collected by observing areas of tree damage or tree mortality from an aircraft and manually recording the information onto a map. Due to the nature of aerial surveys, this data will only provide rough estimates of location, intensity and the resulting trend information for agents detectable from the air. Many of the most destructive diseases are not represented in the data because these agents are not detectable from aerial surveys. The data presented should only be used as...
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Tracklines and associated observations were mapped and analyzed using ArcMap (ESRI, Redlands, CA). GPS data were recorded in NAD27 map datum and projected to an USGS Albers Equal Area Conic map projection for presentation and subsequent density analyses. Concatenated GPS and observation data were then used to generate point and line coverages in ArcMap (ESRI, Redlands, CA). We designed a custom analytic tool using ArcMap Model Builder that allows for the construction and export of user-specified and effort-adjusted spatial binning of species observations along continuous trackines. For the purposes of this report, we calculated seabird density estimates and marine mammal counts along continuous 3.0-kilometer and...
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These data are is part of the Gulf Watch Alaska (GWA) long term monitoring program, nearshore monitoring component. Specifically, these data describe sea otter (Enhydra lutris) aerial survey observations from the waters around Kenai Fjords National Park between 2002 and 2016. Sea otters are a keystone predator, well known for structuring the nearshore marine ecosystem through their consumption of invertebrate prey. The dataset consists of 3 comma delimited files exported from Microsoft Excel. The data consists of 1. Strip transect counts, 2. Intensive Search Unit (ISU) counts, and 3. Transect coordinates. For each aerial survey, a pilot flew an airplane at an altitude of 91m over pre-determined transects while an...
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Synopsis: This study evaluated the effects of landscape management on the spread of mountain pine beetle colonization in Banff National Park, Alberta, Canada. Researchers used annual aerial survey data and geo-referenced locations of colonized trees that were cut and removed to assess if the area colonized and the spatial extent of pine beetles differed between monitoring and management zones. Pine beetles were allowed to follow their natural course in the monitoring zone, while an extensive eradication program involving cutting and burning colonized trees was established in the management zone. Management resulted in no detectable effect on the scale of the zone. However, at the sub-zone scale, the area affected...
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Broad survey lines, island radial survey lines, coastal survey lines, and focal-area (Santa Barbara Channel) survey lines were surveyed during each oceanographic season: spring (May), fall (September), and winter (January) during 1999 (May and September), 2000 (January, May, September), 2001 (January May, September), and 2002 (January). Aerial survey methods follow Mason et al. (2007). Specifically, we recorded all sightings of marine animals, vessels, and floating objects from twin-engine, high wing aircraft (Partenavia P-68s, Aspen Helicopters, Oxnard, CA, or California Department of Fish and Game) along pre-determined 100-meter (50 meters per side) strip transects at 60 meters above sea level. Surveys were flown...


map background search result map search result map Understanding the Links between Climate and Waterbirds Across North America CCE Mountain Pine Beetle Effect of management on spatial spread of mountain pine beetle (Dendroctonus ponderosae) in Banff National Park. Bird Density and Marine Mammal Counts Based on 3000 Meter Bins in Southern California, 1999-2002 At-Sea Aerial Survey Species Observations in Southern California, 1999-2002 Riparian Vegetation and Colorado River—Data Gulf Watch Alaska, Benthic Monitoring Component: Sea Otter Aerial Survey Data Kenai Fjords National Park, 2002-2016 Lake Michigan 2011-13 aerial surveys common loon observations BLM REA MIR 2011 DIS C ADS OtherBeetles BLM REA MIR 2011 DIS C 2010 ADS Spruce Budworm BLM REA MIR 2011 DIS C 2010 ADS BLM REA MIR 2011 DIS C 2010 ADS Douglas Fir Beetle BLM REA MIR 2011 DIS C 2010 ADS Mountain Pine Beetle BLM REA MIR 2011 DIS C 117862 SpruceBudworm ADS BLM REA MIR 2011 DIS C 2010 ADS Subalpine Fir Decline BLM REA NGB 2011 Sudden Aspen Decline from the Insect and Disease Survey (IDS) Database in the NGB BLM REA NGB 2011 Insect and Disease Survey (IDS) Database BLM REA NGB 2011 Other Conifer Insect and Disease Survey (IDS) Database used in NGB Detections of bison from helicopter and aerial thermal infrared imagery in Grand Canyon National Park, 2019-2021 Detections of burros from helicopter aerial surveys in the southwestern US, 2016-2018 Gulf Watch Alaska, Benthic Monitoring Component: Sea Otter Aerial Survey Data Kenai Fjords National Park, 2002-2016 Detections of bison from helicopter and aerial thermal infrared imagery in Grand Canyon National Park, 2019-2021 Riparian Vegetation and Colorado River—Data Effect of management on spatial spread of mountain pine beetle (Dendroctonus ponderosae) in Banff National Park. Lake Michigan 2011-13 aerial surveys common loon observations CCE Mountain Pine Beetle At-Sea Aerial Survey Species Observations in Southern California, 1999-2002 Bird Density and Marine Mammal Counts Based on 3000 Meter Bins in Southern California, 1999-2002 BLM REA MIR 2011 DIS C 117862 SpruceBudworm ADS BLM REA NGB 2011 Insect and Disease Survey (IDS) Database BLM REA MIR 2011 DIS C 2010 ADS Spruce Budworm BLM REA MIR 2011 DIS C 2010 ADS BLM REA MIR 2011 DIS C 2010 ADS Douglas Fir Beetle BLM REA MIR 2011 DIS C 2010 ADS Mountain Pine Beetle BLM REA MIR 2011 DIS C 2010 ADS Subalpine Fir Decline BLM REA NGB 2011 Sudden Aspen Decline from the Insect and Disease Survey (IDS) Database in the NGB BLM REA NGB 2011 Other Conifer Insect and Disease Survey (IDS) Database used in NGB BLM REA MIR 2011 DIS C ADS OtherBeetles Detections of burros from helicopter aerial surveys in the southwestern US, 2016-2018 Understanding the Links between Climate and Waterbirds Across North America