A cross combined land use classification procedure for remote sensing detection of irrigated crops (original) (raw)

On the Application of Remote Sensing Time Series Analysis for Land Cover Mapping: Spectral Indices for Crops Classification

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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

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Land Cover and Land Use : Description of Vegetation Cover During the Growth Period and Crop Classification with Multitemporal High Resolution Spot Images

Stephan Seeling

2007

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A Simple Algorithm to Identify Irrigated Croplands by Remote Sensing

Eddy De Pauw

2011

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Remote Sensing of Irrigated Agriculture: Opportunities and Challenges

George Allez

2010

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Montserrat Jurado-Expósito

Agronomy For Sustainable Development, 2008

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Crop Discrimination Using Field Hyper Spectral Remotely Sensed Data

Eslam Farg

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Irrigation water use monitoring at watershed scale using series of high-resolution satellite images

L. Mateos

Remote Sensing for Agriculture, Ecosystems, and Hydrology XI, 2009

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Utilization of Various Methods and a Landsat Ndvi/Google Earth Engine Product for Classifying Irrigated Land Cover

Andrew Nemecek

2019

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Using remote sensing to assess crop water productivity

Prasad Thenkabail

SPIE Newsroom, 2010

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Use of remote sensing methods in studying agricultural landscapes–

Jan Prochazka

Journal of …, 2010

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Identifying main crop classes in an irrigated area using high resolution image time series

Vincent Simonneaux

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Enhancing the Accuracy and Temporal Transferability of Irrigated Cropping Field Classification Using Optical Remote Sensing Imagery

Zitian Gao

Remote Sensing

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Using Remote Sensing to Improve Crop Water Allocation in a Scarce Water Resources Environment

Wassim Katerji

International Journal of Science and Research (IJSR), 2016

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Use of remote sensing methods in studying agricultural landscapes – a review

Martin Hais

2010

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A Global Irrigated Area Map (GIAM) using remote sensing at the end of the last millennium

Prasad Thenkabail

2008

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Comparing Sentinel-1, Sentinel-2, and Landsat-8 data in the early recognition of irrigated areas in central Italy

Francesca Todisco

Journal of Agricultural Engineering

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A Progressive Crop-Type Classification Using Multitemporal Remote Sensing Data and Phenological Information

Daniel Spengler

PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 2018

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Assessing in-season crop classification performance using satellite data: a test case in Northern Italy

Pietro Alessandro Brivio

European Journal of Remote Sensing

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Estimating irrigation demand using satellite remote sensing: A case study of Paphos District area in Cyprus

Leonidas Toulios

2008

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Suitable remote sensing method and data for mapping and measuring active crop fields

Randy Keller

International Journal of Remote Sensing, 2007

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Object-Based Crop Species Classification Based on the Combination of Airborne Hyperspectral Images and LiDAR Data

Yanchen Bo, Yanchen Bo

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Land Cover / Land Use Monitoring for Agriculture Features Classification

Sona Guliyeva

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020

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Remote sensing and GIS techniques for assessment of the soil water content in order to improve agricultural practice and reduce the negative impact on groundwater: case study, agricultural area Ştefan cel Mare, Călăraşi County

Anirudh Singh

Water Science & Technology, 2012

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Processing and Use of Satellite Images in Order to Extract Useful Information in Precision Agriculture

Herbei Mihai

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The Journal of Agricultural Science Classification of multi-temporal spectral indices for crop type mapping: a case study in Coalville, UK

YAJNASENI PALCHOUDHURI, affa faf

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Crop classification based on multi-temporal satellite remote sensing data for agro-advisory services

Jayant Mohite

Land Surface Remote Sensing II, 2014

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Combined use of multi-seasonal high and medium resolution satellite imagery for parcel-related mapping of cropland and grassland

Manfred Keil

International Journal of Applied Earth Observation and Geoinformation

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Crop type mapping from pansharpened Landsat 8 NDVI data: A case of a highly fragmented and intensive agricultural system

Rachid Lhissou

Remote Sensing Applications: Society and Environment, 2018

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