Delineation and Monitoring of FMV

[1]  Thomas Blaschke,et al.  Geographic Object-Based Image Analysis – Towards a new paradigm , 2014, ISPRS journal of photogrammetry and remote sensing : official publication of the International Society for Photogrammetry and Remote Sensing.

[2]  Dry matter yield and herbage quality of field margin vegetation as a function of vegetation development and management regime , 2006 .

[3]  Ricardo Díaz-Delgado,et al.  Towards a Standard Plant Species Spectral Library Protocol for Vegetation Mapping: A Case Study in the Shrubland of Doñana National Park , 2015, ISPRS Int. J. Geo Inf..

[4]  Heather M. Cheshire,et al.  A comparison of single date and multitemporal satellite image classifications in a semi-arid grassland , 2001 .

[5]  Kevin P. Price,et al.  Using conservation reserve program maps derived from satellite imagery to characterize landscape structure , 2002 .

[6]  Eugene McGovern,et al.  Coastal Dune Vegetation Mapping Using a Multispectral Sensor Mounted on an UAS , 2019, Remote. Sens..

[7]  S. Gergel,et al.  Using hedgerow biodiversity to enhance the carbon storage of farmland in the Fraser River delta of British Columbia , 2015, Journal of Soil and Water Conservation.

[8]  S. Wofsy,et al.  Modeling gross primary production of temperate deciduous broadleaf forest using satellite images and climate data , 2004 .

[9]  Norsuzila Ya'acob,et al.  A review on classification of satellite image using Artificial Neural Network (ANN) , 2014, 2014 IEEE 5th Control and System Graduate Research Colloquium.

[10]  Iain Dunning,et al.  Computing in Operations Research Using Julia , 2013, INFORMS J. Comput..

[11]  Christina Corbane,et al.  Use of high-resolution satellite imagery in an integrated model to predict the distribution of shade coffee tree hybrid zones. , 2010 .

[12]  Kerrie L. Mengersen,et al.  Statistical Machine Learning Methods and Remote Sensing for Sustainable Development Goals: A Review , 2018, Remote. Sens..

[13]  T. M. Lillesand,et al.  Remote Sensing and Image Interpretation , 1980 .

[14]  Sunitha Abburu,et al.  Satellite Image Classification Methods and Techniques: A Review , 2015 .

[15]  S. Nautiyal,et al.  Transitional Peri-urban Landscape and Use of Natural Resource for Livelihoods , 2020 .

[16]  S. Quegan,et al.  Analysis of Maximum Likelihood classification technique on Landsat 5 TM satellite data of tropical land covers , 2012, 2012 IEEE International Conference on Control System, Computing and Engineering.

[17]  Bogdan Zagajewski,et al.  Comparison of support vector machine, random forest and neural network classifiers for tree species classification on airborne hyperspectral APEX images , 2017 .

[18]  C. Hennig Breakdown points for maximum likelihood estimators of location–scale mixtures , 2004, math/0410073.

[19]  Thomas Blaschke,et al.  Object based image analysis for remote sensing , 2010 .

[20]  Jianyu Yang,et al.  Automatic remotely sensed image classification in a grid environment based on the maximum likelihood method , 2013, Math. Comput. Model..

[21]  Qihao Weng,et al.  A survey of image classification methods and techniques for improving classification performance , 2007 .

[22]  Mariana Belgiu,et al.  Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis , 2018 .

[23]  Xiaoe Yang,et al.  Trace elements in agroecosystems and impacts on the environment. , 2005, Journal of trace elements in medicine and biology : organ of the Society for Minerals and Trace Elements.

[24]  Claudio Persello,et al.  Delineation of Agricultural Field Boundaries from Sentinel-2 Images Using a Novel Super-Resolution Contour Detector Based on Fully Convolutional Networks , 2019, Remote. Sens..

[25]  Mustafa Türker,et al.  Field-based sub-boundary extraction from remote sensing imagery using perceptual grouping , 2013 .

[26]  A. Buerkert,et al.  Structure and composition of field margin vegetation in the rural-urban interface of Bengaluru, India: a case study on an unexplored dimension of agroecosystems , 2020, Environmental Monitoring and Assessment.

[27]  Yunsong Li,et al.  Structure Tensor and Guided Filtering-Based Algorithm for Hyperspectral Anomaly Detection , 2019, IEEE Transactions on Geoscience and Remote Sensing.

[28]  John Ray Bergado,et al.  Delineation of agricultural fields in smallholder farms from satellite images using fully convolutional networks and combinatorial grouping , 2019, Remote sensing of environment.

[29]  Alain Albrecht,et al.  Carbon sequestration in tropical agroforestry systems , 2003 .