Exploring Google Street View with deep learning for crop type mapping

All pixels are useful, but some are more useful: Efficient in situ data collection for crop-type mapping using sequential exploration methods

(2020) Jared Fowler et al.   International Journal of Applied Earth Observation and Geoinformation

Mapping twenty years of corn and soybean across the US Midwest using the Landsat archive

(2020) Sherrie Wang et al.   Scientific Data

Crop type mapping without field-level labels: Random forest transfer and unsupervised clustering techniques

(2019) Sherrie Wang et al.   REMOTE SENSING OF ENVIRONMENT

Characterization of food cultivation along roadside transects with Google Street View imagery and deep learning

(2019) John Ringland et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Social sensing from street-level imagery: A case study in learning spatio-temporal urban mobility patterns

(2019) Fan Zhang et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Understanding urban landuse from the above and ground perspectives: A deep learning, multimodal solution

(2019) Shivangi Srivastava et al.   REMOTE SENSING OF ENVIRONMENT

Roadside collection of training data for cropland mapping is viable when environmental and management gradients are surveyed

(2019) François Waldner et al.   International Journal of Applied Earth Observation and Geoinformation

Deep learning based winter wheat mapping using statistical data as ground references in Kansas and northern Texas, US

(2019) Liheng Zhong et al.   REMOTE SENSING OF ENVIRONMENT

A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach

(2018) Yaping Cai et al.   REMOTE SENSING OF ENVIRONMENT

Effect of classifier selection, reference sample size, reference class distribution and scene heterogeneity in per-pixel classification accuracy using 26 Landsat sites

(2018) Shahriar S. Heydari et al.   REMOTE SENSING OF ENVIRONMENT

Fusion of Moderate Resolution Earth Observations for Operational Crop Type Mapping

(2018) Nathan Torbick et al.   Remote Sensing

Fine-grained landuse characterization using ground-based pictures: a deep learning solution based on globally available data

(2018) Shivangi Srivastava et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

Large area cropland extent mapping with Landsat data and a generalized classifier

(2018) Aparna R. Phalke et al.   REMOTE SENSING OF ENVIRONMENT

Deep learning based multi-temporal crop classification

(2018) Liheng Zhong et al.   REMOTE SENSING OF ENVIRONMENT

Building block level urban land-use information retrieval based on Google Street View images

(2017) Xiaojiang Li et al.   GIScience & Remote Sensing

Classifying urban land use by integrating remote sensing and social media data

(2017) Xiaoping Liu et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

A review of supervised object-based land-cover image classification

(2017) Lei Ma et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States

(2017) Timnit Gebru et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Detection of cropland field parcels from Landsat imagery

(2017) Jordan Graesser et al.   REMOTE SENSING OF ENVIRONMENT

MODIS phenology-derived, multi-year distribution of conterminous U.S. crop types

(2017) Richard Massey et al.   REMOTE SENSING OF ENVIRONMENT

Early season large-area winter crop mapping using MODIS NDVI data, growing degree days information and a Gaussian mixture model

(2017) Sergii Skakun et al.   REMOTE SENSING OF ENVIRONMENT

A multi-resolution approach to national-scale cultivated area estimation of soybean

(2017) LeeAnn King et al.   REMOTE SENSING OF ENVIRONMENT

Cloud detection algorithm comparison and validation for operational Landsat data products

(2017) Steve Foga et al.   REMOTE SENSING OF ENVIRONMENT

Google Earth Engine: Planetary-scale geospatial analysis for everyone

(2017) Noel Gorelick et al.   REMOTE SENSING OF ENVIRONMENT

How green are the streets? An analysis for central areas of Chinese cities using Tencent Street View

(2017) Ying Long et al.   PLoS One

Automated mapping of soybean and corn using phenology

(2016) Liheng Zhong et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A meta-analysis of remote sensing research on supervised pixel-based land-cover image classification processes: General guidelines for practitioners and future research

(2016) Reza Khatami et al.   REMOTE SENSING OF ENVIRONMENT

Mapping paddy rice planting area in northeastern Asia with Landsat 8 images, phenology-based algorithm and Google Earth Engine

(2016) Jinwei Dong et al.   REMOTE SENSING OF ENVIRONMENT

The Sensitivity of Mapping Methods to Reference Data Quality: Training Supervised Image Classifications with Imperfect Reference Data

(2016) Giles Foody et al.   ISPRS International Journal of Geo-Information

Mapping global cropland and field size

(2015) Steffen Fritz et al.   GLOBAL CHANGE BIOLOGY

Generating global crop distribution maps: From census to grid

(2014) Liangzhi You et al.   AGRICULTURAL SYSTEMS

Spectral clustering for sensing urban land use using Twitter activity

(2014) Vanessa Frias-Martinez et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Annual Crop Type Classification of the US Great Plains for 2000 to 2011

(2014) Daniel M. Howard et al.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

Using social media to quantify nature-based tourism and recreation

(2013) Spencer A. Wood et al.   Scientific Reports

Crop type mapping using spectral–temporal profiles and phenological information

(2012) Saskia Foerster et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data

(2012) Peng Gong et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Classification of MODIS EVI time series for crop mapping in the state of Mato Grosso, Brazil

(2011) Damien Arvor et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Monitoring US agriculture: the US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program

(2011) Claire Boryan et al.   Geocarto International

MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets

(2009) Mark A. Friedl et al.   REMOTE SENSING OF ENVIRONMENT

Geo-Wiki.Org: The Use of Crowdsourcing to Improve Global Land Cover

(2009) Steffen Fritz et al.   Remote Sensing

Increasing the accuracy of neural network classification using refined training data

(2008) Taskin Kavzoglu   ENVIRONMENTAL MODELLING & SOFTWARE

OpenStreetMap: User-Generated Street Maps

(2008) M. Haklay et al.   IEEE PERVASIVE COMPUTING

Large-area crop mapping using time-series MODIS 250 m NDVI data: An assessment for the U.S. Central Great Plains

(2007) Brian D. Wardlow et al.   REMOTE SENSING OF ENVIRONMENT