EXPLORING CAPABILITIES OF SENTINEL-2 FOR VEGETATION MAPPING USING RANDOM FOREST

EXPLORING CAPABILITIES OF SENTINEL-2 FOR VEGETATION MAPPING USING RANDOM FOREST

Accurate vegetation mapping is essential for monitoring crop and sustainable agricultural practice. This study aims to explore the capabilities of Sentinel-2 data over Landsat-8 Operational Land Imager (OLI) data for vegetation mapping. Two combination of Sentinel-2 dataset have been considered, fir...

Full description

Bibliographic Details
Main Authors:	R. Saini, S. K. Ghosh
Format:	Article
Language:	English
Published:	Copernicus Publications 2018-04-01
Series:	The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:	https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3/1499/2018/isprs-archives-XLII-3-1499-2018.pdf

Similar Items

CROP CLASSIFICATION ON SINGLE DATE SENTINEL-2 IMAGERY USING RANDOM FOREST AND SUPPOR VECTOR MACHINE
by: R. Saini, et al.
Published: (2018-11-01)

Evaluating Multitemporal Sentinel-2 data for Forest Mapping using Random Forest
by: Nelson, Marc
Published: (2017)

Lowland Rice Mapping in Sédhiou Region (Senegal) Using Sentinel 1 and Sentinel 2 Data and Random Forest
by: Edoardo Fiorillo, et al.
Published: (2020-10-01)

Sentinel-1 and 2 Time-Series for Vegetation Mapping Using Random Forest Classification: A Case Study of Northern Croatia
by: Dino Dobrinić, et al.
Published: (2021-06-01)

VEGETATION MAPPING OF SENTINEL-1 AND 2 SATELLITE IMAGES USING CONVOLUTIONAL NEURAL NETWORK AND RANDOM FOREST WITH THE AID OF DUAL-POLARIZED AND OPTICAL VEGETATION INDEXES
by: N. Ghasemian Sorboni, et al.
Published: (2019-10-01)

Evaluating the capabilities of Sentinel-2 for quantitative estimation of biophysical variables in vegetation
by: Frampton, W.J, et al.
Published: (2013)

Mapping of glacial lakes using Sentinel-1 and Sentinel-2 data and a random forest classifier: Strengths and challenges
by: Sonam Wangchuk, et al.
Published: (2020-12-01)

Mangrove Ecosystem Mapping Using Sentinel-1 and Sentinel-2 Satellite Images and Random Forest Algorithm in Google Earth Engine
by: Arsalan Ghorbanian, et al.
Published: (2021-06-01)

Species-Level Classification and Mapping of a Mangrove Forest Using Random Forest—Utilisation of AVIRIS-NG and Sentinel Data
by: Mukunda Dev Behera, et al.
Published: (2021-05-01)

MAPPING OF FOREST FIRE BURNED SEVERITY USING THE SENTINEL DATASETS
by: K. V. Suresh Babu, et al.
Published: (2018-11-01)

A Comparison of Gaofen-2 and Sentinel-2 Imagery for Mapping Mangrove Forests Using Object-Oriented Analysis and Random Forest
by: Rong Zhang, et al.
Published: (2021-01-01)

Assessment of Sentinel-2 Satellite Images and Random Forest Classifier for Rainforest Mapping in Gabon
by: Adam Waśniewski, et al.
Published: (2020-08-01)

Crop Mapping Using Random Forest and Particle Swarm Optimization Based on Multi-Temporal Sentinel-2
by: Elahe Akbari, et al.
Published: (2020-05-01)

Mapping Maize Area in Heterogeneous Agricultural Landscape with Multi-Temporal Sentinel-1 and Sentinel-2 Images Based on Random Forest
by: Yansi Chen, et al.
Published: (2021-07-01)

Sentinel-2 Data in an Evaluation of the Impact of the Disturbances on Forest Vegetation
by: Josef Lastovicka, et al.
Published: (2020-06-01)

A Synergetic Analysis of Sentinel-1 and -2 for Mapping Historical Landslides Using Object-Oriented Random Forest in the Hyrcanian Forests
by: Zeinab Shirvani, et al.
Published: (2019-10-01)

Mapping Floods in Lowland Forest Using Sentinel-1 and Sentinel-2 Data and an Object-Based Approach
by: Mateo Gašparović, et al.
Published: (2021-04-01)

Forest Stand Species Mapping Using the Sentinel-2 Time Series
by: Ewa Grabska, et al.
Published: (2019-05-01)

A Machine Learning Approach for Mapping Forest Vegetation in Riparian Zones in an Atlantic Biome Environment Using Sentinel-2 Imagery
by: Danielle Elis Garcia Furuya, et al.
Published: (2020-12-01)

A COMPARATIVE ANALYSIS OF PLANETSCOPE AND SENTINEL SENTINEL-2 SPACE-BORNE SENSORS IN MAPPING STRIGA WEED USING GUIDED REGULARISED RANDOM FOREST CLASSIFICATION ENSEMBLE
by: B. T. Mudereri, et al.
Published: (2019-06-01)

EXPLORING THE CAPABILITIES OF COMBINING THE SENTINEL-2 MSI DATA AND HIGH RESOLUTION GOOGLE EARTH IMAGE FOR MAPPING MANGROVE SPECIES
by: H. Z. Li, et al.
Published: (2020-08-01)

MAPPING COASTAL AND WETLAND VEGETATION COMMUNITIES USING MULTI-TEMPORAL SENTINEL-2 DATA
by: P. Villa, et al.
Published: (2021-06-01)

DEFORESTATION MAPPING USING SENTINEL-1 AND OBJECT-BASED RANDOM FOREST CLASSIFICATION ON GOOGLE EARTH ENGINE
by: V. Yordanov, et al.
Published: (2021-06-01)

Forest Type Identification with Random Forest Using Sentinel-1A, Sentinel-2A, Multi-Temporal Landsat-8 and DEM Data
by: Yanan Liu, et al.
Published: (2018-06-01)

Exploring Bamboo Forest Aboveground Biomass Estimation Using Sentinel-2 Data
by: Yuyun Chen, et al.
Published: (2018-12-01)

Optimal Exploitation of the Sentinel-2 Spectral Capabilities for Crop Leaf Area Index Mapping
by: Guido D’Urso, et al.
Published: (2012-02-01)

Mapping forest age using National Forest Inventory, airborne laser scanning, and Sentinel-2 data
by: Johannes Schumacher, et al.
Published: (2020-11-01)

Potential improvement for forest cover and forest degradation mapping with the forthcoming Sentinel-2 program
by: L. Hojas-Gascon, et al.
Published: (2015-04-01)

Mapping Species at an Individual-Tree Scale in a Temperate Forest, Using Sentinel-2 Images, Airborne Laser Scanning Data, and Random Forest Classification
by: Veerle Plakman, et al.
Published: (2020-11-01)

Flood Mapping in Vegetated Areas Using an Unsupervised Clustering Approach on Sentinel-1 and -2 Imagery
by: Lisa Landuyt, et al.
Published: (2020-11-01)

Synergistic Use of Sentinel-1 and Sentinel-2 to Map Natural Forest and Acacia Plantation and Stand Ages in North-Central Vietnam
by: Ben Spracklen, et al.
Published: (2021-01-01)

EXPLORING SENTINEL-2 FOR LAND COVER AND CROP MAPPING IN PORTUGAL
by: I. Hernandez, et al.
Published: (2020-08-01)

Mapping of Himalaya Leucogranites Based on ASTER and Sentinel-2A Datasets Using a Hybrid Method of Metric Learning and Random Forest
by: Ziye Wang, et al.
Published: (2020-01-01)

Assessment of k-Nearest Neighbor and Random Forest Classifiers for Mapping Forest Fire Areas in Central Portugal Using Landsat-8, Sentinel-2, and Terra Imagery
by: Admilson da Penha Pacheco, et al.
Published: (2021-04-01)

Application of Sentinel-2 and EnMAP new satellite data to the mapping of alpine vegetation of the Karkonosze Mountains
by: Jędrych Marcjanna, et al.
Published: (2017-09-01)

Forest mapping and species composition using supervised per pixel classification of Sentinel-2 imagery
by: Bolyn, C., et al.
Published: (2018-01-01)

Phenology Modelling and Forest Disturbance Mapping with Sentinel-2 Time Series in Austria
by: Markus Löw, et al.
Published: (2020-12-01)

Feature Comparison and Optimization for 30-M Winter Wheat Mapping Based on Landsat-8 and Sentinel-2 Data Using Random Forest Algorithm
by: Yuanhuizi He, et al.
Published: (2019-03-01)

UAV Remote Sensing for Urban Vegetation Mapping Using Random Forest and Texture Analysis
by: Quanlong Feng, et al.
Published: (2015-01-01)

The utility of Sentinel-2 Vegetation Indices (VIs) and Sentinel-1 Synthetic Aperture Radar (SAR) for invasive alien species detection and mapping
by: Perushan Rajah, et al.
Published: (2019-06-01)

Cannot write session to /tmp/vufind_sessions/sess_rlajgrp9jdq5jqhv99c2kvtpm9