Estimation of Methane Emissions from Rice Paddies in the Mekong Delta Based on Land Surface Dynamics Characterization with Remote Sensing
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Estimation of Methane Emissions from Rice Paddies in the Mekong Delta Based on Land Surface Dynamics Characterization with Remote Sensing
Authors
Keywords
-
Journal
Remote Sensing
Volume 10, Issue 9, Pages 1438
Publisher
MDPI AG
Online
2018-09-10
DOI
10.3390/rs10091438
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Mapping of Rice Varieties and Sowing Date Using X-Band SAR Data
- (2018) Hoa Phan et al. SENSORS
- Effect of oxidizing and reducing agents in soil on methane production in Southeast Asian paddies
- (2017) Kazuyuki Inubushi et al. SOIL SCIENCE AND PLANT NUTRITION
- Three-Step Semi-Empirical Radiometric Terrain Correction Approach for PolSAR Data Applied to Forested Areas
- (2017) Lei Zhao et al. Remote Sensing
- Mapping rice greenhouse gas emissions in the Red River Delta, Vietnam
- (2017) Nathan Torbick et al. Carbon Management
- Wetland monitoring with Global Navigation Satellite System reflectometry
- (2017) Son V. Nghiem et al. Earth and Space Science
- A 21st-century shift from fossil-fuel to biogenic methane emissions indicated by 13CH4
- (2016) H. Schaefer et al. SCIENCE
- Land Surface Water Coverage Estimation with PALSAR and AMSR-E for Large Scale Flooding Detection
- (2016) Xi Li et al. TERRESTRIAL ATMOSPHERIC AND OCEANIC SCIENCES
- Incidence angle normalization of Wide Swath SAR data for oceanographic applications
- (2016) Konstantinos Topouzelis et al. Open Geosciences
- Greenhouse gas emissions from rice straw burning and straw-mushroom cultivation in a triple rice cropping system in the Mekong Delta
- (2015) Hironori Arai et al. SOIL SCIENCE AND PLANT NUTRITION
- Climate-Determined Suitability of the Water Saving Technology "Alternate Wetting and Drying" in Rice Systems: A Scalable Methodology demonstrated for a Province in the Philippines
- (2015) Andrew Nelson et al. PLoS One
- Complementarity of Two Rice Mapping Approaches: Characterizing Strata Mapped by Hypertemporal MODIS and Rice Paddy Identification Using Multitemporal SAR
- (2014) Sonia Asilo et al. Remote Sensing
- A Phenology-Based Classification of Time-Series MODIS Data for Rice Crop Monitoring in Mekong Delta, Vietnam
- (2013) Nguyen-Thanh Son et al. Remote Sensing
- Incidence Angle Normalization of Radar Backscatter Data
- (2012) Iliana E. Mladenova et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Evaluation of uncertainties in N2O and NO fluxes from agricultural soil using a hierarchical Bayesian model
- (2012) Kazuya Nishina et al. JOURNAL OF GEOPHYSICAL RESEARCH
- Towards an automated SAR-based flood monitoring system: Lessons learned from two case studies
- (2010) P. Matgen et al. PHYSICS AND CHEMISTRY OF THE EARTH
- Global estimations of the inventory and mitigation potential of methane emissions from rice cultivation conducted using the 2006 Intergovernmental Panel on Climate Change Guidelines
- (2009) Xiaoyuan Yan et al. GLOBAL BIOGEOCHEMICAL CYCLES
- Characterizing L-Band Scattering of Paddy Rice in Southeast China With Radiative Transfer Model and Multitemporal ALOS/PALSAR Imagery
- (2009) Cuizhen Wang et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Mapping paddy rice with multitemporal ALOS/PALSAR imagery in southeast China
- (2009) Yuan Zhang et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Effects of changing rice cultural practices on C-band synthetic aperture radar backscatter using Envisat advanced synthetic aperture radar data in the Mekong River Delta
- (2009) Thuy Le Toan Journal of Applied Remote Sensing
- Greenhouse gas mitigation in agriculture
- (2007) P. Smith et al. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started