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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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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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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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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...
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2009 USDA Forest Service, Rocky Mountain Region Aerial Detection Survey Data. "Flown/ not flown" (r209_flown) feature class. This data depicts the spatial extent where the 2009 aerial detection survey took place. This data set is a companion to the r209_dmg data, which depicts the occurrence and location of 2009 forest insect, disease, and other biotic and abiotic causes of tree mortality and tree damage. The r209_flown data set provides information on which areas were surveyed, when the areas were surveyed, who the surveyors were (and their respective agencies), and what type of survey took place. Air turbulence, cloud shadows, distance from aircraft, haze, smoke, etc., which affect survey accuracies, may also...
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Recent interest has increased related to developing alternative sources of renewable energy to reduce dependence on oil. Some of those sources will include power generation infrastructure and support activities located within continental shelf waters, and potentially within deeper waters off the U.S. Pacific coast and beyond state waters (i.e., outside three nautical miles). Currently, the Bureau of Ocean Energy Management (BOEM) is considering renewable energy proposals off the coast of Oregon. The 2011-2012 Pacific Continental Shelf Environmental Assessment (PaCSEA) project is intended to provide new information on species composition, distribution, abundance, seasonal variation, and habitat utilization among...
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ADS Mountain Pine Beelte 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...
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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...


    map background search result map search result map Pine Beetle Aerial Survey 1994-2010 for the Rocky Mountain Region CCE Mountain Pine Beetle Pacific Continental Shelf Environmental Assessment (PaCSEA) GIS Resource Database 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 BLM REA MIR 2011 DIS C ADS OtherBeetles BLM REA MIR 2011 DIS C 2010 ADS Spruce Beetle 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 114910 MountainPineBeetle 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 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 Pine Beetle Aerial Survey 1994-2010 for the Rocky Mountain Region BLM REA MIR 2011 DIS C 117862 SpruceBudworm ADS BLM REA NGB 2011 Insect and Disease Survey (IDS) Database Pacific Continental Shelf Environmental Assessment (PaCSEA) GIS Resource Database BLM REA MIR 2011 DIS C 2010 ADS Spruce Beetle 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 BLM REA MIR 2011 DIS C 114910 MountainPineBeetle ADS