In order to maintain the high variance inherent in the entire NAIP dataset, we sample image patches from a multitude of scenes (a total of 1500 image tiles) covering different landscapes like rural areas, urban areas, densely forested, mountainous terrain, small to large water bodies, agricultural areas, etc. The images consist of 4 bands - red, green, blue and Near Infrared (NIR).

The imagery is acquired at a 1-m ground sample distance (GSD) with a horizontal accuracy that lies within six meters of photo-identifiable ground control points. The entire NAIP dataset for CONUS is ~65 terabytes. The average image tiles are ~6000 pixels in width and ~7000 pixels in height, measuring around 200 megabytes each.

We used the uncompressed digital Ortho quarter quad tiles (DOQQs) which are GeoTIFF images and the area corresponds to the United States Geological Survey (USGS) topographic quadrangles. The NAIP dataset consists of a total of 330,000 scenes spanning the whole of the Continental United States (CONUS). Images were extracted from the National Agriculture Imagery Program (NAIP) dataset. Qin Zou, Lihao Ni, Tong Zhang and Qian Wang, Deep learning based feature selection for remote sensing scene classification, IEEE Geoscience and Remote Sensing Letters, vol.This dataset is rather challenging due to the wide diversity of the scene images which are captured under changing seasons and varying weathers, and sampled with different scales. For each category, there are 400 images collected from the Google Earth which are sampled on 4 different scales with 100 images per scale. This dataset contains 2800 remote sensing images which are from 7 typical scene categories - the grass land, forest, farm land, parking lot, residential region, industrial region, and river&lake. Symposium: 100 Years ISPRS - Advancing Remote Sensing Science: Vienna, Austria, 2010 Sun, 'Structural high-resolution satellite image indexing'. Yi Yang and Shawn Newsam, 'Bag-Of-Visual-Words and Spatial Extensions for Land-Use Classification,' ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM GIS), 2010.The pixel resolution of this public domain imagery is 1 foot. The images were manually extracted from large images from the USGS National Map Urban Area Imagery collection for various urban areas around the country. There are 100 images for each of the following classes:Īgricultural，airplane，baseballdiamond，beach，buildings，chaparral，denseresidential，forest，freeway，golfcourse，harbor，intersection，mediumresidential，mobilehomepark，overpass，parkinglot，river，runway，sparseresidential，storagetanks，tenniscourt

This is a 21 class land use image dataset meant for research purposes. Radiant MLHub Open Library for Earth Observations Machine Learning.

The Henderson Site, located near Roswell in southeastern New Mexico, underwent a dramatic economic transformation during the 14th century, its inhabitants becoming increasingly involved in long-distance bison hunting on the Southern Plains and exchange with Pueblo communities to the west.Review: A Review Of Benchmarking In Photogrammetry And Remote Sensing Awesome project The ultraviolet fluorescence (UVF) response of many of the projectile points from Henderson suggests that the villagers regularly hunted bison on the Edwards Plateau (Edwards Plateau chert UVF response = orange/yellow) and on the Texas High Plains (Alibates and/or Tecovas chert UVF response = green). At nearby Bloom Mound, that post-dates Henderson by at most a few generations, a sharp decline during the first half of the 15th century in the number of projectile points made of Texas cherts, coupled with a dramatic fall-off in the amount of bison reaching this community, suggest that Roswell-area villagers sharply curtailed their bison hunting forays into the Southern Plains. Nonetheless, a growing volume of long-distance trade goods coming into Bloom from the Pueblo world, including exotic pottery, turquoise, marine shells, and even copper bells, indicates that these Roswell villagers continued their involvement in Plains-Pueblo interaction, perhaps increasingly assuming the role of middlemen.

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