Surface biophysical features fusion in remote sensing for improving land crop/cover classification accuracy

Improving the Accuracy of Multiple Algorithms for Crop Classification by Integrating Sentinel-1 Observations with Sentinel-2 Data

(2021) Amal Chakhar et al.   Remote Sensing

Crop Type and Land Cover Mapping in Northern Malawi Using the Integration of Sentinel-1, Sentinel-2, and PlanetScope Satellite Data

(2021) Daniel Kpienbaareh et al.   Remote Sensing

National Crop Mapping Using Sentinel-1 Time Series: A Knowledge-Based Descriptive Algorithm

(2021) Carole Planque et al.   Remote Sensing

Satellite-based data fusion crop type classification and mapping in Rio Grande do Sul, Brazil

(2021) Luan Pierre Pott et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

High Plains wheat mosaic virus: An enigmatic disease of wheat and corn causing the High Plains disease

(2021) Satyanarayana Tatineni et al.   MOLECULAR PLANT PATHOLOGY

A machine learning approach for accurate crop type mapping using combined SAR and optical time series data

(2021) Rahat Tufail et al.   ADVANCES IN SPACE RESEARCH

Improved digital soil mapping with multitemporal remotely sensed satellite data fusion: A case study in Iran

(2020) Solmaz Fathololoumi et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Optimizing Feature Selection of Individual Crop Types for Improved Crop Mapping

(2020) Leikun Yin et al.   Remote Sensing

Crop Classification Based on Temporal Signatures of Sentinel-1 Observations over Navarre Province, Spain

(2020) María Arias et al.   Remote Sensing

Albedo Retrieval From Sentinel-2 by New Narrow-to-Broadband Conversion Coefficients

(2020) Stefania Bonafoni et al.   IEEE Geoscience and Remote Sensing Letters

Mapping winter-wheat biomass and grain yield based on a crop model and UAV remote sensing

(2020) Jibo Yue et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Remote sensing versus the area sampling frame method in paddy rice acreage estimation in Indramayu regency, West Java province, Indonesia

(2020) Laju Gandharum et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Crop Classification Using Multi-Temporal Sentinel-2 Data in the Shiyang River Basin of China

(2020) Zhiwei Yi et al.   Remote Sensing

An Adversarial Generative Network for Crop Classification from Remote Sensing Timeseries Images

(2020) Jingtao Li et al.   Remote Sensing

In-Season Mapping of Irrigated Crops Using Landsat 8 and Sentinel-1 Time Series

(2019) Valérie Demarez et al.   Remote Sensing

Crop type classification using a combination of optical and radar remote sensing data: a review

(2019) Aiym Orynbaikyzy et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Geographical Random Forests: A Spatial Extension of the Random Forest Algorithm to Address Spatial Heterogeneity in Remote Sensing and Population Modelling

(2019) Stefanos Georganos et al.   Geocarto International

Derivation of Tasseled Cap Transformation Coefficients for Sentinel-2 MSI At-Sensor Reflectance Data

(2019) Tingting Shi et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

The Effect of NDVI Time Series Density Derived from Spatiotemporal Fusion of Multisource Remote Sensing Data on Crop Classification Accuracy

(2019) Rui Sun et al.   ISPRS International Journal of Geo-Information

Improvement in Land Cover and Crop Classification based on Temporal Features Learning from Sentinel-2 Data Using Recurrent-Convolutional Neural Network (R-CNN)

(2019) Vittorio Mazzia et al.   Applied Sciences-Basel

NDVI derived from near-infrared-enabled digital cameras: Applicability across different plant functional types

(2018) Gianluca Filippa et al.   AGRICULTURAL AND FOREST METEOROLOGY

Evaluating the capability of the Sentinel 2 data for soil organic carbon prediction in croplands

(2018) Fabio Castaldi et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Crop Classification Based on Temporal Information Using Sentinel-1 SAR Time-Series Data

(2018) Lu Xu et al.   Remote Sensing

Present and future Köppen-Geiger climate classification maps at 1-km resolution

(2018) Hylke E. Beck et al.   Scientific Data

A new method for crop classification combining time series of radar images and crop phenology information

(2017) Damian Bargiel   REMOTE SENSING OF ENVIRONMENT

Phenology-adaptive pixel-based compositing using optical earth observation imagery

(2017) David Frantz et al.   REMOTE SENSING OF ENVIRONMENT

Mapping Winter Wheat with Multi-Temporal SAR and Optical Images in an Urban Agricultural Region

(2017) Tao Zhou et al.   SENSORS

Best Accuracy Land Use/Land Cover (LULC) Classification to Derive Crop Types Using Multitemporal, Multisensor, and Multi-Polarization SAR Satellite Images

(2016) Christoph Hütt et al.   Remote Sensing

Improved Early Crop Type Identification By Joint Use of High Temporal Resolution SAR And Optical Image Time Series

(2016) Jordi Inglada et al.   Remote Sensing

Feature Selection of Time Series MODIS Data for Early Crop Classification Using Random Forest: A Case Study in Kansas, USA

(2015) Pengyu Hao et al.   Remote Sensing

Modeling the spatial distribution of crop sequences at a large regional scale using land-cover survey data: A case from France

(2014) Ying Xiao et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Impact of feature selection on the accuracy and spatial uncertainty of per-field crop classification using Support Vector Machines

(2013) F. Löw et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Evaluation of random forest method for agricultural crop classification

(2012) Asli Ozdarici Ok et al.   European Journal of Remote Sensing

A history of soil classification and soil survey in Canada: Personal perspectives

(2011) Darwin W. Anderson et al.   CANADIAN JOURNAL OF SOIL SCIENCE