Dataset Name: AgNet_NE

Version: 1.0

Author: Dr. Ziheng Sun

Contact: zsun@gmu.edu

Date of Release: Sep 1 2020

Geolocation: Nebraska, US 

Bounding Box:

Upper Left  ( -671010.000, 2250720.000) (104d17' 2.53"W, 42d59'19.82"N)
Lower Left  ( -671010.000, 1886250.000) (103d54'37.45"W, 39d44'38.88"N)
Upper Right (   58530.000, 2250720.000) ( 95d16'32.12"W, 43d14'55.88"N)
Lower Right (   58530.000, 1886250.000) ( 95d18'30.30"W, 39d59'29.78"N)
Center      ( -306240.000, 2068485.000) ( 99d42' 2.10"W, 41d34' 3.05"N)

Time Range: 1985 ~ 2000

Frequency: Yearly

Georeference: EPSG:5070 - NAD83 / Conus Albers

Format: GeoTiff

Resolution: 30 meter

Height: 12149

Width: 24318

Keywords: crop, Nebraska, land cover, land use, corn, soybean, landsat

Software: GDAL, Keras, Tensorflow, Numpy, GeoWeaver

Input Datasets: USGS Landsat 5 TM C1 Level 1 products, USDA Cropland Data Layer, US Census Adminstrative Boundary Shapefile

Model: AgNet_v1

LICENSE: Creative Commons Attribution 4.0 International (CC BY 4.0) 

Recommend References: 

Sun, Z., Di, L., Fang, H. and Burgess, A., 2020. Deep Learning Classification for Crop Types in North Dakota. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Sun, Z., Di, L. and Fang, H., 2019. Using long short-term memory recurrent neural network in land cover classification on Landsat and Cropland data layer time series. International journal of remote sensing, 40(2), pp.593-614.

Sun, Z., Di, L., Burgess, A., Tullis, J.A. and Magill, A.B., 2020. Geoweaver: Advanced Cyberinfrastructure for Managing Hybrid Geoscientific AI Workflows. ISPRS International Journal of Geo-Information, 9(2), p.119.