Multi-sensor Approach for the Estimation of Above-Ground Biomass of Mangroves von Sanam, Humaira, Thomas, Anjana Anie, Kumar, Arun Prasad, Lakshmanan, Gnanappazham

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Estimation of above ground biomass of mangrove forest plot using terrestrial laser scanner von Kumar Adimoolam, Yeshwanth, Pillai, Nithin D., Lakshmanan, Gnanappazham, Mishra, Deepak, Kumar Dadhwal, Vinay

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Revealing the socio-economic vulnerability and multi-hazard risks at micro-administrative units in the coastal plains of Tamil Nadu, India von Karuppusamy, Balasubramani, Leo George, Sekar, Anusuya, Kanagarajan, Venkatesh, Ravichandran, Thilagaraj, Periasamy, Gnanappazham, Lakshmanan, Kumaraswamy, Kuppannagoundar, Balasundareshwaran, Alankar Hitlar, Balabaskaran Nina, Praveen

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Estimating built-up risk from multi-natural hazards: A case study of Northern coastal plains of Tamil Nadu von Abarna, R., Leo George, Sekar, Balasubramani, K., Yuvaraj, S., Shekhar, Sulochana, Gnanappazham, Lakshmanan, Prasad, Kumar Arun

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Analysis and Prediction of Urban Growth Using Neural-Network-Coupled Agent-Based Cellular Automata Model for Chennai Metropolitan Area, Tamil Nadu, India von Devendran, Aarthi Aishwarya, Lakshmanan, Gnanappazham

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Response of mangroves to the change in tidal and fresh water flow – A case study in Pichavaram, South India von Gnanappazham, Lakshmanan, Selvam, Vaithilingam

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Urban growth prediction using neural network coupled agents-based Cellular Automata model for Sriperumbudur Taluk, Tamil Nadu, India von Aarthi, Aishwarya Devendran, Gnanappazham, Lakshmanan

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Comparison of machine learning algorithms for mangrove species identification in Malad creek, Mumbai using WorldView-2 and Google Earth images von Nagarajan, Padmageetha, Rajendran, Lakshana, Pillai, Nithin D., Lakshmanan, Gnanappazham

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Comparison of Urban Growth Modeling Using Deep Belief and Neural Network Based Cellular Automata Model—A Case Study of Chennai Metropolitan Area, Tamil Nadu, India von Aarthi, Aishwarya Devendran, Gnanappazham, Lakshmanan

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A Review On Accuracy and Uncertainty of Spatial Data and Analyses with special reference to Urban and Hydrological Modelling von Devendran, A.A, Lakshmanan, G.

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