metadata A-280m

공공데이터포털

The metadata describe the set of Landsat Thematic Mapper images used in this study. This dataset is not publicly accessible because: File size is too large. It can be accessed through the following means: See the data dictionary. Format: TIFF. This dataset is associated with the following publication: Vanderhoof, M., J. Christensen , and L. Alexander. Patterns and drivers for wetland connections in the Prairie Pothole Region, United States. Wetlands Ecology and Management. Springer Science and Business Media B.V;Formerly Kluwer Academic Publishers B.V., GERMANY, 25: 275-297, (2017).

Lakes, Surface Water Dynamics, Prairie Pothole Region, Depressional wetlands, Wetland Loss, Landsat, Climate, Wetland Connectivity

공공데이터포털

These data are processed Landsat images. This dataset is not publicly accessible because: The dataset is too large for Sciencehub upload. It can be accessed through the following means: Please contact Laurie Alexander, alexander.laurie@epa.gov. Format: These data are in OLI Full Resolution Browse (FRB) format. This dataset is associated with the following publication: Vanderhoof , M., and L. Alexander. The Role of Lake Expansion in Altering the Wetland Landscape of the Prairie Pothole Region, United States. WETLANDS. The Society of Wetland Scientists, McLean, VA, USA, 36(Suppl 2): S309-S321, (2016).

Lakes, Surface Water Dynamics, Prairie Pothole Region, Depressional wetlands, Wetland Loss, Landsat, Climate, Wetland Connectivity

공공데이터포털

These data are processed Landsat images. This dataset is not publicly accessible because: The dataset is too large for Sciencehub upload. It can be accessed through the following means: Please contact Laurie Alexander, alexander.laurie@epa.gov. Format: These data are in OLI Full Resolution Browse (FRB) format. This dataset is associated with the following publication: Vanderhoof , M., and L. Alexander. The Role of Lake Expansion in Altering the Wetland Landscape of the Prairie Pothole Region, United States. WETLANDS. The Society of Wetland Scientists, McLean, VA, USA, 36(Suppl 2): S309-S321, (2016).

LaneCharles A-dv4f Data 20180430.xls

공공데이터포털

Data associated with the paper, "Comparing pixel- and object-based approaches in effectively classifying wetland-dominated landscapes". This dataset is associated with the following publication: Berhane, T., C. Lane, Q. Wu, O. Anenkhonov, V. Chepinoga, B. Autrey, and H. Liu. Comparing Pixel- and Object-Based Approaches in Effectively Classifying Wetland-Dominated Landscapes. Remote Sensing. MDPI AG, Basel, SWITZERLAND, 10(1): 46, (2018).

Field datasets- NDTI

공공데이터포털

A spread sheet documenting the wetness conditions for various fields in the study site. Additionally, this sheet documents mean spectral responses for Landsat and Worldview 3 bands as well as tillage and wetness indices, and the estimated percentage of residue and raw water content.

Field datasets- NDTI

공공데이터포털

A spread sheet documenting the wetness conditions for various fields in the study site. Additionally, this sheet documents mean spectral responses for Landsat and Worldview 3 bands as well as tillage and wetness indices, and the estimated percentage of residue and raw water content.

Wrangell St. Elias National Park and Preserve detailed vegetation

공공데이터포털

The land cover grid data set is based on a supervised multi-spectral image analysis of Landsat TM5 and TM7 data, supported by field data, modeling, review of aerial photography, interim product review/feedback from NPS, and review/analysis of the other data layers included in the ArcView 9.1 WRST Land Cover Mapping Project. 28.5 meter pixel grid data set with 10062 grid values and associated land cover attributes representing the land cover classes mapped during the WRST Land Cover Mapping Project (2004-2007) completed by Geographic Resource Solutions and ABR Inc under contract with the National Park Service Alaska Regional Office (NPS-AKRO) as part of NPS's Land Cover Mapping Program.

Land cover map including wetlands and invasive Phragmites circa 2017

공공데이터포털

The first basin-wide map of large stands of invasive Phragmites australis (common reed) in the coastal zone was created through a collaboration between the U.S. Geological Survey and Michigan Tech Research Institute (Bourgeau-Chavez et al 2013). This data set represents a revised version of that map and was created using multi-temporal PALSAR data and Landsat images from 2016-2017. In addition to Phragmites distribution, the data sets shows several land cover types including urban, agriculture, forest, shrub, emergent wetland, forested wetland, and some based on the dominant plant species (e.g., Schoenoplectus, Typha). The classified map was validated using over 400 field visits.

Land cover map including wetlands and invasive Phragmites circa 2017

공공데이터포털

The first basin-wide map of large stands of invasive Phragmites australis (common reed) in the coastal zone was created through a collaboration between the U.S. Geological Survey and Michigan Tech Research Institute (Bourgeau-Chavez et al 2013). This data set represents a revised version of that map and was created using multi-temporal PALSAR data and Landsat images from 2016-2017. In addition to Phragmites distribution, the data sets shows several land cover types including urban, agriculture, forest, shrub, emergent wetland, forested wetland, and some based on the dominant plant species (e.g., Schoenoplectus, Typha). The classified map was validated using over 400 field visits.

Field datasets- SINDRI

공공데이터포털

A spread sheet documenting the wetness conditions for various fields in the study site. Additionally, this sheet documents mean spectral responses for Landsat and Worldview 3 bands as well as tillage and wetness indices, and the estimated percentage of residue and raw water content.