Remote sensing and land cover area estimation

No abstract is available for this paper.

• Publication year

  2004

• Venue

  International Journal of Remote Sensing

• Publication date

  2004-08-01

• Fields of study

  Geology, Geography, Environmental Science

• Identifiers
  DOI 10.1080/01431160310001619607
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Systematic sampling

  2019cited by this paper
• Estimation of forest parameters through Fuzzy classification of TM Data

  2003cited by this paper
• SAMPLING FRAMES OF SQUARE SEGMENTS

  2002cited by this paper
• Rice monitoring and production estimation using multitemporal RADARSAT

  2001cited by this paper
• AVHRR-Based Forest Proportion Map of the Pan-European Area.

  2001influential reference
• Sampling for forest cover change assessment at the pan-tropical scale

  2000cited by this paper
• Beware of per-pixel characterization of land cover

  2000cited by this paper
• Predicting the areal extent of land-cover types using classified imagery and geostatistics.

  2000cited by this paper
• Linear Mixture Modeling Approach for Estimating Cotton Canopy Ground Cover using Satellite Multispectral Imagery

  2000cited by this paper
• The Influence of Field Sample Data Location on Growing Stock Volume Estimation in Landsat TM-Based Forest Inventory in Eastern Finland

  2000cited by this paper
• Selecting Representative High Resolution Sample Images for Land Cover Studies. Part 2 Application to Estimating Land Cover Composition

  2000cited by this paper
• Selecting Representative High Resolution Sample Images for Land Cover Studies. Part 1: Methodology

  2000cited by this paper
• Land Cover Estimation in Small Areas Using Ground Survey and Remote Sensing

  2000cited by this paper
• Accuracy Assessment and Validation of a Land Use-Land Cover Database in Arezzo (Italy) ∗ .

  2000cited by this paper
• Optical Remote Sensing for Forest Area Estimation

  2000influential reference
• Land cover mapping of large areas from satellites: Status and research priorities

  2000cited by this paper
• Fuzzy set theory and thematic maps: accuracy assessment and area estimation

  2000influential reference
• Bias in land cover change estimates due to misregistration

  2000cited by this paper
• The Use of CORINE Land Cover to Improve Area Frame Survey Estimates.

  2000cited by this paper
• Quantifying vegetation change in semiarid environments: precision and accuracy of spectral mixture analysis and the normalized difference vegetation index.

  2000cited by this paper
• Monitoring the spatial extent of coastal wetlands using ERS-1 SAR data

  1999cited by this paper
• CROP AREA ESTIMATION IN THE MARS PROJECT

  1999cited by this paper
• Optimising The Size of Sampling Units in an Area Frame

  1999cited by this paper
• Bayesian classification and class area estimation of satellite images using stratification

  1998influential reference
• Assessing the accuracy of remotely sensed data : principles and practices

  1998cited by this paper
• Forest Area Estimation Using Sample Surveys and Landsat MSS and TM Data

  1998cited by this paper
• FOREST RESOURCES ASSESSMENT 1990: SURVEY OF TROPICAL FOREST COVER AND STUDY OF CHANGE PROCESSES

  1998cited by this paper
• Irrivol: A method to estimate the yearly and monthly water applied in an irrigation district

  1998cited by this paper
• Rice crop area estimation of an administrative division in China using remote sensing data

  1998cited by this paper
• On the feasibility of diachronic regression estimators with ground survey and Landsat TM data

  1998cited by this paper
• Using NOAA AVHRR and landsat TM to estimate rice area year-by-year

  1998cited by this paper
• Mapping Desert Shrub Rangeland Using Spectral Unmixing and Modeling Spectral Mixtures with TM Data

  1997cited by this paper
• Regional Crop Inventories in Europe Assisted by Remote Sensing: 1988 - 1993 Synthesis Report of the MARS Project - Action 1

  1997influential reference
• A SIMULATION COMPARISON OF THREE MARGINAL AREA ESTIMATORS FOR IMAGE CLASSIFICATION

  1997cited by this paper
• A comparison of mixture modeling algorithms and their applicability to the MODIS data

  1997cited by this paper
• Remote sensing and agricultural statistics: Crop area estimation in north-eastern Spain through diachronic Landsat TM and ground sample data

  1997cited by this paper
• Estimating basal area coverage of subtidal seagrass beds using underwater videography

  1997cited by this paper
• Woodland area estimation by spectral mixing: applying a goodness-of-fit solution method

  1996cited by this paper
• Linear spectral mixture modelling to estimate vegetation amount from optical spectral data

  1996cited by this paper
• Point accuracy of a non-parametric method in estimation of forest characteristics with different satellite materials

  1996cited by this paper
• Tropical secondary forest regrowth in the Amazon: age, area and change estimation with Thematic Mapper data

  1996influential reference
• Calibration-based models for correction of area estimates derived from coarse resolution land-cover data

  1996influential reference
• Optimistic bias in classification accuracy assessment

  1996cited by this paper
• Book reviewParasitic plants: Ed. by M.C. Press and J.D. Graves. ISBN 0412 371200. Chapman and Hall, London, 1995, xii + 292 pp

  1996cited by this paper
• AVHRR for global tropical forest monitoring: The lessons of the TREES project

  1995influential reference
• Estimation of forest parameters through fuzzy classification of TM data

  1995cited by this paper
• A Comparison of Various Estimators for Updating Forest Area Coverage Using AVHRR and Forest Inventory Data

  1995influential reference
• Conservative bias in classification accuracy assessment due to pixel-by-pixel comparison of classified images with reference grids

  1995cited by this paper
• Sampling thematic mapper imagery for land use data

  1995cited by this paper
• Estimation of tropical forest area from coarse spatial resolution data: A two-step correction function for proportional errors due to spatial aggregation

  1995cited by this paper
• Regional forest cover estimation via remote sensing: the calibration center concept

  1994cited by this paper
• Scale-dependent errors in the estimation of land-cover proportions. Implications for global land-cover datasets

  1994cited by this paper
• Satellite inventory of Minnesota forest resources

  1994cited by this paper
• US forest types and predicted percent forest cover from AVHRR data

  1994influential reference
• An image analysis system to develop area sampling frames for agricultural surveys

  1994cited by this paper
• Wheat production forecasting for a predominantly unirrigated region in Madhya Pradesh )India)

  1994cited by this paper
• Pre-harvest state level wheat acreage estimation using IRS-IA LISS-I data in Punjab (India)

  1993cited by this paper
• Calibration of satellite classifications of land area

  1993cited by this paper
• Linear mixing and the estimation of ground cover proportions

  1993cited by this paper
• Crop area estimates through remote sensing: stability of the regression correction

  1993cited by this paper
• Remote sensing and agricultural statistics: crop area estimation through regression estimators and confusion matrices

  1993cited by this paper
• Two‐Dimensional Systematic Sampling of Land Use

  1993cited by this paper
• Linear mixing model applied to coarse spatial resolution data from multispectral satellite sensors

  1993cited by this paper
• Tropical Deforestation and Habitat Fragmentation in the Amazon: Satellite Data from 1978 to 1988

  1993cited by this paper
• An optimal estimation technique for increasing the accuracy of crop forecasts by combining remotely sensed and conventional forecast results.

  1992cited by this paper
• Misclassification Bias in Areal Estimates

  1992cited by this paper
• Calibration of Remotely Sensed Proportion or Area Estimates for Misclassification Error

  1992influential reference
• Calibration Estimators in Survey Sampling

  1992cited by this paper
• Towards continental scale crop area estimation

  1992cited by this paper
• How accurately do image classifiers estimate area

  1992influential reference
• Linear mixture modelling applied to AVHRR data for crop area estimation

  1992cited by this paper
• Subpixel measurement of tropical forest cover using AVHRR data

  1991cited by this paper
• Comparing two methodologies for crop area estimation in Spain using Landsat TM images and ground-gathered data

  1991cited by this paper
• Vegetation in deserts. I - A regional measure of abundance from multispectral images. II - Environmental influences on regional abundance

  1990cited by this paper
• Use of error probabilities to improve area estimates based on maximum likelihood classifications

  1990cited by this paper
• Crop inventory studies using Landsat data on a large area in Hungary.

  1990cited by this paper
• Fuzzy supervised classification of remote sensing images

  1990cited by this paper
• AVHRR for Monitoring Global Tropical Deforestation

  1989cited by this paper
• The stability of global estimates from confusion matrices

  1989cited by this paper
• Regression and ratio estimators to integrate AVHRR and MSS data

  1989cited by this paper
• A technique for extrapolating and validating forest cover across large regions - Calibrating AVHRR data with TM data

  1989cited by this paper
• Review Article Digital change detection techniques using remotely-sensed data

  1989cited by this paper
• L'application de la télédétection à l'estimation des superficies agricoles

  1988cited by this paper
• An Error-Components Model for Prediction of County Crop Areas Using Survey and Satellite Data

  1988cited by this paper
• Large area crop classification in New South Wales, Australia, using Landsat data

  1988cited by this paper
• 6 Systematic sampling

  1988cited by this paper
• The derivation of global estimates from a confusion matrix

  1988cited by this paper
• Using classification error matrices to improve the accuracy of weighted land-cover models

  1987cited by this paper
• Coniferous Forest Classification and Inventory Using Landsat and Digital Terrain Data

  1986cited by this paper
• Crop Acreage Estimation Using a Landsat-Based Estimator as an Auxiliary Variable

  1986influential reference
• On the Design of Classifiers for Crop Inventories

  1986cited by this paper
• Timely crop area estimates from Landsat

  1985cited by this paper
• Using satellite remotely sensed data to estimate crop proportions

  1984cited by this paper
• Weighted ratio estimation in agricultural surveys

  1984cited by this paper
• The use of Landsat for county estimates of crop areas! Evaluation of the Huddleston-ray and the Battese-Fuller estimators for the case of stratified sampling

  1984cited by this paper
• Use of satellite data in agricultural surveys

  1984cited by this paper
• Landsat-based inventory system for agriculture in California

  1984influential reference
• An Investigation of Some Estimators of Variance for Systematic Sampling

  1984cited by this paper
• Effect of mixed (boundary) pixels on crop proportion estimation

  1984cited by this paper
• A mixture model approach for estimating crop areas from Landsat data

  1984cited by this paper

• Quantifying decadal mangrove dynamics to inform national restoration targets: a geospatial framework for coastal resilience in Southeast Mauritius

  2026cites this paper
• Geographically weighted regression model-assisted (GWRMA) estimation to improve precision of estimates combining remote sensing and ground plot data

  2026cites this paper
• Land use and land cover dynamics in dryland ecosystem of Northwestern Ethiopia: taking into account uncertainties and correcting bias in satellite-based maps.

  2026cites this paper
• Monitoring winter crop areas during wartime: remote sensing support for Ukraine’s agricultural statistics

  2026cites this paper
• The impact of map accuracy on area estimation with remotely sensed data within the stratified random sampling design

  2025cites this paper
• An effort towards understanding the dynamics of urban sprawl and its influence on land cover: A case study of East Sikkim, India

  2025cites this paper
• Monitoring cropland cultivation, abandonment, fallowing and recultivation dynamics with regard to conflict intensity in war-affected Ukraine

  2025cites this paper
• Integrating Statistical and Earth AgriData in Small Farming Systems for Food Security

  2025cites this paper
• Remote Sensing of Alpine Peatlands: Challenges of Mapping Thousands of Sparse Small Sites Scattered Across Extensive Mountainous Territories

  2025cites this paper
• A Novel Bias-Adjusted Estimator Based on Synthetic Confusion Matrix (BAESCM) for Subregion Area Estimation

  2025cites this paper
• High-Resolution Mapping of Orchard Distribution Across Italy

  2025cites this paper
• IoT-Integrated Geospatial Analytics for Automated Farmland Area Estimation Using Machine Learning

  2025cites this paper
• A generalized model for mapping sunflower areas using Sentinel-1 SAR data

  2024cites this paper
• Iterative mapping of probabilities: A data fusion framework for generating accurate land cover maps that match area statistics

  2024cites this paper
• Regression coefficient estimation from remote sensing maps

  2024cites this paper
• ‘Uncertainty audit’ for ecosystem accounting: Satellite-based ecosystem extent is biased without design-based area estimation and accuracy assessment

  2024cites this paper
• Land use Change Detection Methodologies and Techniques for Remotely Sensed Images

  2024cites this paper
• Comparative Analysis of Tillage Indices and Machine Learning Algorithms for Maize Residue Cover Prediction

  2024cites this paper
• Harmonized Pan-European Time Series for Monitoring Soil Sealing

  2024cites this paper
• Comparison and Validation of Multiple Medium- and High-Resolution Land Cover Products in Southwest China

  2024cites this paper
• Impacts of irrigation tank restoration on water bodies and croplands in Telangana State of India using Landsat time series data and machine learning algorithms

  2023cites this paper
• Mapping rapeseed in China during 2017-2021 using Sentinel data: an automated approach integrating rule-based sample generation and a one-class classifier (RSG-OC)

  2023cites this paper
• Comparison of Various Annual Land Cover Datasets in the Yellow River Basin

  2023cites this paper
• A faster SVM classification technique for remote sensing images using reduced training samples

  2023cites this paper
• Burned Area Estimation Using a New Accuracy Verification Method Based on Sentinel-2 Images

  2023cites this paper
• Three-Dimensional Mapping and Change Detection Analysis Using Aerial Images for Unmanned Aerial Vehicles

  2023cites this paper
• Strong collaborative governance networks support effective Forest Stewardship Council-certified community-based forest management: Evidence from Southeast Tanzania

  2023cites this paper
• Identification and Mapping of Land Use Land Cover Variations Using Time-Series Landsat Data in MBOMIPA Wildlife Management Area

  2023cites this paper
• A Spatiotemporal Characterization of Water Resource Conditions and Demands as Influenced by the Hydrogeologic Framework of the Willcox Groundwater Basin, Southeastern Arizona, USA

  2023cites this paper
• Development of an Adaptive Linear Mixture Model for Decomposition of Mixed Pixels to Improve Crop Area Estimation Using Artificial Neural Network

  2023cites this paper
• Mixed Pixel Saturability Based Area Estimation Model on Remote Sensing Image

  2023cites this paper
• Assessing the Accuracy of Multi-Temporal GlobeLand30 Products in China Using a Spatiotemporal Stratified Sampling Method

  2023cites this paper
• Earth Observation-Based Rice Mapping Studies in Vietnamese Mekong Delta Compared to Global Context: A Bibliometric Analysis

  2023cites this paper
• The future of global land change monitoring

  2023cites this paper
• Assessment of herbaceous vegetation classification using orthophotos produced from the image acquired with unmanned aerial systems

  2023cites this paper
• Development of a 10-m resolution maize and soybean map over China: Matching satellite-based crop classification with sample-based area estimation

  2023cites this paper
• The Case for Hierarchical Deep Learning Inference at the Network Edge

  2023cites this paper
• Analysis of The Change of Softmax Value in The Training Process of Neural Network

  2022cites this paper
• Networks and institutions in sustainable forest use: Evidence from South-East Tanzania

  2022cites this paper
• Integration of remote sensing data into national statistical office sampling designs for agriculture

  2022cites this paper
• Parametric Classification using Fuzzy Approach for Handling the Problem of Mixed Pixels in Ground Truth Data for a Satellite Image

  2022cites this paper
• A full resolution deep learning network for paddy rice mapping using Landsat data

  2022cites this paper
• Land Surface Parameterization at Exposed Playa and Desert Region to Support Dust Emissions Estimates in Southern California, United States

  2022cites this paper
• Data-driven automatic labelling of land cover classes from remotely sensed images

  2022cites this paper
• Prediction of Field-Scale Wheat Yield Using Machine Learning Method and Multi-Spectral UAV Data

  2022cites this paper
• Widespread changes in 21st century vegetation cover in Argentina, Paraguay, and Uruguay

  2022cites this paper
• Detecting and Assessing the Spatio-Temporal Land Use Land Cover Changes of Bahrain Island During 1986–2020 Using Remote Sensing and GIS

  2022cites this paper
• Leveraging the use of labeled benchmark datasets for urban area change mapping and area estimation: a case study of the Washington DC–Baltimore region

  2022cites this paper
• Unbiased Area Estimation Using Copernicus High Resolution Layers and Reference Data

  2022cites this paper
• Land Use and Land Cover Area Estimates From Class Membership Probability of a Random Forest Classification

  2022cites this paper
• Mapping active paddy rice area over monsoon asia using time-series Sentinel – 2 images in Google earth engine; a case study over lower gangetic plain

  2022cites this paper
• Quantum remote sensing with atom-light entangled interface

  2022cites this paper
• Annual 30 m soybean yield mapping in Brazil using long-term satellite observations, climate data and machine learning

  2022cites this paper
• Some Thoughts on Official Statistics and its Future (with discussion)

  2022cites this paper
• Bias of area counted from sub-pixel map: Origin and correction

  2022cites this paper
• Assessing food availability: A novel approach for the quantitative estimation of the contribution of small farms in regional food systems in Europe

  2021cites this paper
• Crop Pattern and Status Monitoring

  2021cites this paper
• Towards operational validation of annual global land cover maps

  2021cites this paper
• From parcel to continental scale - A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations

  2021cites this paper
• Geospatial assessment on land-use changes of Home Gardens in Upper Mahaweli Catchment in Sri Lanka

  2021cites this paper
• An SVM approach for Pixel Identification of Multispectral Remotely Sensed Data

  2021cites this paper
• Analysis of the Current and Future Prediction of Land Use/Land Cover Change Using Remote Sensing and the CA-Markov Model in Majang Forest Biosphere Reserves of Gambella, Southwestern Ethiopia

  2021cites this paper
• Assessing within-Field Corn and Soybean Yield Variability from WorldView-3, Planet, Sentinel-2, and Landsat 8 Satellite Imagery

  2021influential citation
• Land use balance determination using satellite imagery and geographic information system: case study in South Sulawesi Province, Indonesia

  2021cites this paper
• A Deep Learning Approach to Mapping Irrigation Using Landsat: IrrMapper U-Net

  2021cites this paper
• Landscape framework for the exploitation of renewable energy resources and potentials in urban scale (case study: Iran)

  2021cites this paper
• Comparison of Simple Averaging and Latent Class Modeling to Estimate the Area of Land Cover in the Presence of Reference Data Variability

  2021cites this paper
• A phenology-based method for identifying the planting fraction of winter wheat using moderate-resolution satellite data

  2020cites this paper
• A Cloud-Based Evaluation of the National Land Cover Database to Support New Mexico's Food-Energy-Water Systems

  2020cites this paper
• Detecting and Analyzing Land Use and Land Cover Changes in the Region of Al-Jabal Al-Akhdar, Libya Using Time-Series Landsat Data from 1985 to 2017

  2020cites this paper
• Remote Sensing Support for the Gain-Loss Approach for Greenhouse Gas Inventories

  2020cites this paper
• A Tutorial on Model-Assisted Estimation with Application to Forest Inventory

  2020cites this paper
• EFFECTS OF LAND USE CHANGES AND LAND VEGETATION ON WATER BIRDS AND WADERS DIVERSITY OF ANZALI, ALAGOL, ALMAGOL AND AJIGOL INTERNATIONAL WETLANDS

  2020cites this paper
• Mitigating the effects of omission errors on area and area change estimates

  2020cites this paper
• Detecting nutrient deficiency in spruce forests using multispectral satellite imagery

  2020cites this paper
• Land cover change, landscape degradation, and restoration along a railway line in the Amazon biome, Brazil

  2020cites this paper
• Fully convolutional neural nets in-the-wild

  2020cites this paper
• Crop type identification and spatial mapping using Sentinel-2 satellite data with focus on field-level information

  2020cites this paper
• Land Cover Changes in Open-Cast Mining Complexes Based on High-Resolution Remote Sensing Data

  2019cites this paper
• Key issues in rigorous accuracy assessment of land cover products

  2019cites this paper
• Monitoring the Sustainable Intensification of Arable Agriculture: the Potential Role of Earth Observation

  2019cites this paper
• Correction: Yadav. K. and Congalton. R. Accuracy Assessment of Global Food Security-Support Analysis Data (GFSAD) Cropland Extent Maps Produced at Three Different Spatial Resolutions. Remote Sens. 2018 10, 1800

  2019cites this paper
• Noise Clustering-Based Hypertangent Kernel Classifier for Satellite Imaging Analysis

  2019cites this paper
• The Potential of High Resolution (5 m) RapidEye Optical Data to Estimate Above Ground Biomass at the National Level over Tanzania

  2019cites this paper
• An evaluation framework to build a cost-efficient crop monitoring system. Experiences from the extension of the European crop monitoring system

  2019cites this paper
• Intra-annual reflectance composites from Sentinel-2 and Landsat for national-scale crop and land cover mapping

  2019cites this paper
• ACCURACIES, ERRORS, AND UNCERTAINTIES OF GLOBAL CROPLAND PRODUCTS

  2019cites this paper
• Quantifying the trade-off between cost and precision in estimating area of forest loss and degradation using probability sampling in Guyana

  2019cites this paper
• Applying Remote Sensing Image Classification Techniques and Area Estimation Methods for Land Use Purposes

  2019influential citation
• AN IMPROVED PIXEL COUNTING METHOD FOR ARBITRARY ZONAL STATISTICS ON GLOBELAND30

  2019cites this paper
• Reflectance-based Model for Soybean Mapping in United States at Common Land Unit Scale with Landsat 8

  2019influential citation
• Annual dynamics of global land cover and its long-term changes from 1982 to 2015

  2019cites this paper
• Multi-Scale Estimation of Land Use Efficiency (SDG 11.3.1) across 25 Years Using Global Open and Free Data

  2019cites this paper
• Landsat-based operational wheat area estimation model for Punjab, Pakistan

  2018cites this paper
• New ISTAT “microzones” layer: a new way to read land cover statistics

  2018cites this paper
• 6.02 – Vegetation Continuous Fields

  2018cites this paper
• Seam-line determination via minimal connected area searching and minimum spanning tree for UAV image mosaicking

  2018cites this paper
• Design of a spatial sampling scheme considering the spatial autocorrelation of crop acreage included in the sampling units

  2018cites this paper
• Accuracy and Area Estimation

  2018cites this paper
• Summary of Country experiences and critical issues related to estimation of activity data

  2018cites this paper