Assessing Nebraska playa wetland inundation status during 1985–2015 using Landsat data and Google Earth Engine

Playa wetlands in Nebraska provide globally important habitats for migratory waterfowl. Inundation condition is an important indicator of playa wetland functionality. However, there is a lack of long-term continuous monitoring records for playa wetlands. The objective of this study was to determine a suitable index for Landsat images to map the playa inundation status in March and April during 1985–2015. Four types of spectral indices—negative normalized vegetation index, Normalized Difference Water Index (NDWI), modified NDWI, and Tasseled Cap Wetness-Greenness Difference (TCWGD)—were evaluated to detect playa inundation conditions from Landsat images. The results indicate that the TCWGD is the most suitable index for distinguishing playa inundation status. By using Landsat images and Google Earth Engine, we mapped the spring inundation condition of Nebraska playas during 1985–2015. The results show that the total inundated areas were 176.79 km2 in spring migratory season, representing 18.92% of the total area of playa wetlands. There were 9898 wetlands inundated at least once in either March or April during the past 30 years, representing 29.41% of a total of 33,659 historical wetlands. After comparing the historical hydric soil footprints and the inundated areas, the results indicate that the hydrological conditions of the majority of playas in Nebraska have changed. The inundated wetlands are candidates for protection and/or partial restoration, and the un-inundated wetlands need more attention for wetland restoration. Wetlands in areas enrolled in conservation easements had a significantly high level of playa inundation status than non-conserved wetlands during spring migratory seasons in the past decades.These conservation easements only count for 4.29% of the total footprint areas, but they have contributed 20.82% of the inundation areas in Nebraska during the past 30 years.

[1]  Richard L. Church,et al.  An extendable heuristic framework to solve the p-compact-regions problem for urban economic modeling , 2014, Comput. Environ. Urban Syst..

[2]  Noel Gorelick,et al.  Google Earth Engine , 2012 .

[3]  Yi Peng,et al.  Wetland inundation mapping and change monitoring using Landsat and airborne LiDAR data , 2014 .

[4]  Stacy L. Ozesmi,et al.  Satellite remote sensing of wetlands , 2002, Wetlands Ecology and Management.

[5]  D. Larson.  Effects of climate on numbers of northern prairie wetlands , 1995 .

[6]  R. Kauth,et al.  The tasselled cap - A graphic description of the spectral-temporal development of agricultural crops as seen by Landsat , 1976 .

[7]  S. K. McFeeters.  The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features , 1996 .

[8]  Runsen Zhang,et al.  Landscape ecological security response to land use change in the tidal flat reclamation zone, China , 2015, Environmental Monitoring and Assessment.

[9]  A. Lacis,et al.  Calculation of radiative fluxes from the surface to top of atmosphere based on ISCCP and other global data sets: Refinements of the radiative transfer model and the input data , 2004 .

[10]  Andrew A. Bishop,et al.  Predictions of future ephemeral springtime waterbird stopover habitat availability under global change , 2015 .

[11]  C. Barbosa,et al.  Dual-season mapping of wetland inundation and vegetation for the central Amazon basin , 2003 .

[12]  Martha C. Anderson,et al.  Free Access to Landsat Imagery , 2008, Science.

[13]  Elisabeth B. Webb,et al.  Effects of Local and Landscape Variables on Wetland Bird Habitat Use During Migration Through the Rainwater Basin , 2010 .

[14]  D. Haukos,et al.  Ecosystem services provided by playas in the High Plains: potential influences of USDA conservation programs , 2011 .

[15]  Loren M. Smith,et al.  Influences of land use and wetland characteristics on water loss rates and hydroperiods of playas in the Southern High Plains, USA , 2007, Wetlands.

[16]  Peng Gong,et al.  Modelling spatial‐temporal change of Poyang Lake using multitemporal Landsat imagery , 2008 .

[17]  R. Tiner,et al.  Geographically isolated wetlands of the United States , 2003, Wetlands.

[18]  Javier Bustamante,et al.  Evidence of Hydroperiod Shortening in a Preserved System of Temporary Ponds , 2010, Remote. Sens..

[19]  V. Caron,et al.  United states. , 2018, Nursing standard (Royal College of Nursing (Great Britain) : 1987).

[20]  Zhiqiang Yang,et al.  Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — Temporal segmentation algorithms , 2010 .

[21]  C. R. Lane,et al.  Isolated Wetlands of the Southeastern United States: Abundance and Expected Condition , 2012, Wetlands.

[22]  C. Tucker.  Red and photographic infrared linear combinations for monitoring vegetation , 1979 .

[23]  E. Crist,et al.  Application of the Tasseled Cap concept to simulated thematic mapper data , 1984 .

[24]  Loren M. Smith.  Playas of the Great Plains , 2003 .

[25]  Weiguo Jiang,et al.  Capturing LiDAR‐Derived Hydrologic Spatial Parameters to Evaluate Playa Wetlands , 2014 .

[26]  Hanqiu Xu.  Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery , 2006 .

[27]  Zhe Zhu,et al.  Object-based cloud and cloud shadow detection in Landsat imagery , 2012 .

[28]  Birgit Heim,et al.  Water Body Distributions Across Scales: A Remote Sensing Based Comparison of Three Arctic Tundra Wetlands , 2013, Remote. Sens..

[29]  Wetland Seed Availability for Waterfowl in Annual and Perennial Emergent Plant Communities of the Rainwater Basin , 2015, Wetlands.

[30]  E. Shimizu.  Satellite Remote Sensing , 2019, Dictionary of Geotourism.

[31]  Weiguo Jiang,et al.  Use RUSLE2 model to assess the impact of soil erosion on playa inundation and hydrophyte conditions in the Rainwater Basin, Nebraska , 2016, Environmental Monitoring and Assessment.

[32]  B. Gao.  NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space , 1996 .

[33]  Megan W. Lang,et al.  Lidar intensity for improved detection of inundation below the forest canopy , 2009, Wetlands.

[34]  Examining Playa Wetland Inundation Conditions for National Wetland Inventory, Soil Survey Geographic Database, and LiDAR Data , 2015, Wetlands.

[35]  R. Colombo,et al.  Integration of remote sensing data and GIS for accurate mapping of flooded areas , 2002 .

[36]  D. Rundquist,et al.  Methods for estimating wetland loss: The Rainbasin region of Nebraska, 1927–1981 , 1991 .

[37]  L. Rebelo,et al.  Remote sensing and GIS for wetland inventory, mapping and change analysis. , 2009, Journal of environmental management.