Monitoring early-season agricultural drought using temporal Sentinel-1 SAR-based combined drought index
暂无分享,去创建一个
C. S. Murthy | A. Chakraborty | M. Kumari | M. Devi | T. Neelima | T. Dilip
[1] B. Parida,et al. Soil moisture modeling over agricultural fields using C-band synthetic aperture radar and modified Dubois model , 2023, Applied Geomatics.
[2] P. Gururaj,et al. Evaluation of surface soil moisture models over heterogeneous agricultural plots using L-band SAR observations , 2022, Geocarto International.
[3] Ning Li,et al. A systematic method for spatio-temporal phenology estimation of paddy rice using time series Sentinel-1 images , 2021 .
[4] G. Lemoine,et al. Comparing land surface phenology of major European crops as derived from SAR and multispectral data of Sentinel-1 and -2 , 2021, Remote sensing of environment.
[5] Liang Zhou,et al. Comparative evaluation of drought indices for monitoring drought based on remote sensing data , 2021, Environmental Science and Pollution Research.
[6] Y. S. Rao,et al. Dual polarimetric radar vegetation index for crop growth monitoring using sentinel-1 SAR data , 2020 .
[7] Sneha Kulkarni,et al. Developing a Remote Sensing-Based Combined Drought Indicator Approach for Agricultural Drought Monitoring over Marathwada, India , 2020, Remote. Sens..
[8] Jiali Shang,et al. Detection of Crop Seeding and Harvest through Analysis of Time-Series Sentinel-1 Interferometric SAR Data , 2020, Remote. Sens..
[9] V. K. Dadhwal,et al. Fore-warning of early season agricultural drought condition over Indian region – a fractional wetness approach , 2020, Geocarto International.
[10] Di Wu,et al. Monitoring Surface Soil Moisture Content over the Vegetated Area by Integrating Optical and SAR Satellite Observations in the Permafrost Region of Tibetan Plateau , 2020, Remote. Sens..
[11] Yuanyuan Wang,et al. Regional-scale drought monitor using synthesized index based on remote sensing in northeast China , 2020 .
[12] Amba Shetty,et al. Assessment of spatial variation of soil moisture during maize growth cycle using SAR observations , 2019, Remote Sensing.
[13] Mehrez Zribi,et al. A Comparison of Two Soil Moisture Products S2MP and Copernicus-SSM Over Southern France , 2019, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[14] Susan C. Steele-Dunne,et al. Crop Monitoring Using Sentinel-1 Data: A Case Study from The Netherlands , 2019, Remote. Sens..
[15] Daniel Spengler,et al. Analyzing Temporal and Spatial Characteristics of Crop Parameters Using Sentinel-1 Backscatter Data , 2019, Remote. Sens..
[16] Claudia Notarnicola,et al. Exploiting Time Series of Sentinel-1 and Sentinel-2 Imagery to Detect Meadow Phenology in Mountain Regions , 2019, Remote. Sens..
[17] Zhongxin Chen,et al. Research advances of SAR remote sensing for agriculture applications: A review , 2019, Journal of Integrative Agriculture.
[18] Z. Çakır,et al. Sensitivity Analysis of Multi-Temporal Sentinel-1 SAR Parameters to Crop Height and Canopy Coverage , 2019, Applied Sciences.
[19] Heather McNairn,et al. Estimating canola phenology using synthetic aperture radar , 2018, Remote Sensing of Environment.
[20] Christian Berger,et al. Surface Moisture and Vegetation Cover Analysis for Drought Monitoring in the Southern Kruger National Park Using Sentinel-1, Sentinel-2, and Landsat-8 , 2018, Remote. Sens..
[21] Christoph Rüdiger,et al. Sensitivity of Sentinel-1 Backscatter to Vegetation Dynamics: An Austrian Case Study , 2018, Remote. Sens..
[22] Nemesio J. Rodríguez-Fernández,et al. Evaluation of SMOS, SMAP, ASCAT and Sentinel-1 Soil Moisture Products at Sites in Southwestern France , 2018, Remote. Sens..
[23] Sabrina Esch,et al. Soil moisture index from ERS-SAR and its application to the analysis of spatial patterns in agricultural areas , 2018 .
[24] Tsegaye Tadesse,et al. Comparison of the Performance of Six Drought Indices in Characterizing Historical Drought for the Upper Blue Nile Basin, Ethiopia , 2018 .
[25] R. Dutta. Drought Monitoring in the Dry Zone of Myanmar using MODIS Derived NDVI and Satellite Derived CHIRPS Precipitation Data , 2018 .
[26] Mehrez Zribi,et al. Potential of Sentinel-1 Radar Data for the Assessment of Soil and Cereal Cover Parameters , 2017, Sensors.
[27] J. Kovacs,et al. Tracking crop phenological development using multi-temporal polarimetric Radarsat-2 data , 2017, Remote Sensing of Environment.
[28] Qi Gao,et al. Synergetic Use of Sentinel-1 and Sentinel-2 Data for Soil Moisture Mapping at 100 m Resolution , 2017, Sensors.
[29] N. Dalezios,et al. Agricultural Drought Indices: Combining Crop, Climate, and Soil Factors , 2017 .
[30] Yang Zheng,et al. Crop Phenology Detection Using High Spatio-Temporal Resolution Data Fused from SPOT5 and MODIS Products , 2016, Sensors.
[31] C. Ochsenfeld,et al. A tunable azine covalent organic framework platform for visible light-induced hydrogen generation , 2015, Nature Communications.
[32] Yared A. Bayissa,et al. Spatio-temporal assessment of meteorological drought under the influence of varying record length: the case of Upper Blue Nile Basin, Ethiopia , 2015 .
[33] Ahmad Al Bitar,et al. Retrieval and Multi-scale Validation of Soil Moisture from Multi-temporal SAR Data in a Semi-Arid Tropical Region , 2015, Remote. Sens..
[34] R. DeFries,et al. Understanding the causes and consequences of differential decision-making in adaptation research: Adapting to a delayed monsoon onset in Gujarat, India , 2015 .
[35] N. Patel,et al. Monitoring spatio-temporal pattern of drought stress using integrated drought index over Bundelkhand region, India , 2015, Natural Hazards.
[36] Taifeng Dong,et al. Remote Sensing Based Detection of Crop Phenology for Agricultural Zones in China Using a New Threshold Method , 2013, Remote. Sens..
[37] D. Dutta,et al. Predicting agricultural drought in eastern Rajasthan of India using NDVI and standardized precipitation index , 2013 .
[38] C. S. Murthy,et al. Assessing early season drought condition using AMSR-E soil moisture product , 2013 .
[39] Anna Balenzano,et al. On the use of temporal series of L-and X-band SAR data for soil moisture retrieval. Capitanata plain case study , 2013 .
[40] J. Vogt,et al. Development of a Combined Drought Indicator to detect agricultural drought in Europe , 2012 .
[41] L. Di,et al. Vegetation index based technique for global agricultural drought monitoring , 2011, Proceedings of 5th International Conference on Recent Advances in Space Technologies - RAST2011.
[42] V. Singh,et al. A review of drought concepts , 2010 .
[43] P. S. Roy,et al. Land Surface Water Index (LSWI) response to rainfall and NDVI using the MODIS Vegetation Index product , 2010 .
[44] Wolfgang Wagner,et al. The Potential of Sentinel-1 for Monitoring Soil Moisture with a High Spatial Resolution at Global Scale , 2009 .
[45] Hari Shanker Srivastava,et al. Large-Area Soil Moisture Estimation Using Multi-Incidence-Angle RADARSAT-1 SAR Data , 2009, IEEE Transactions on Geoscience and Remote Sensing.
[46] Klaus Scipal,et al. An Improved Soil Moisture Retrieval Algorithm for ERS and METOP Scatterometer Observations , 2009, IEEE Transactions on Geoscience and Remote Sensing.
[47] J. Qu,et al. Satellite remote sensing applications for surface soil moisture monitoring: A review , 2009 .
[48] Hongjie Xie,et al. Different responses of MODIS-derived NDVI to root-zone soil moisture in semi-arid and humid regions , 2007 .
[49] P. S. Roy,et al. Agricultural drought assessment at disaggregated level using AWiFS/WiFS data of Indian Remote Sensing satellites , 2007 .
[50] Michael J. Hayes,et al. Understanding the complex impacts of drought: A key to enhancing drought mitigation and preparedness , 2007 .
[51] M. S. Moran,et al. Comparison of four models to determine surface soil moisture from C‐band radar imagery in a sparsely vegetated semiarid landscape , 2006 .
[52] M. Ashton,et al. Accuracy assessments of hyperspectral waveband performance for vegetation analysis applications , 2004 .
[53] M. Moran. Soil moisture evaluation using multi-temporal synthetic aperture radar (SAR) in semiarid rangeland , 2000 .
[54] W. Wagner,et al. A Method for Estimating Soil Moisture from ERS Scatterometer and Soil Data , 1999 .
[55] D. C. Edwards,et al. Characteristics of 20th Century Drought in the United States at Multiple Time Scales. , 1997 .
[56] A. Pandey,et al. Surface Soil Moisture Retrieval Using Sentinel-1 SAR Data for Crop Planning in Kosi River Basin of North Bihar , 2022 .
[57] C. Hain,et al. Drought-- National Drought Mitigation Center 2-6-2018 Developing a Remotely Sensed Drought Monitoring Indicator for Morocco , 2019 .
[58] Hercules Dalianis,et al. Evaluation Metrics and Evaluation , 2018 .
[59] K. Sudheer,et al. Performance of Kharif crops as influenced by time of sowing in rainfed alfisols , 2016 .
[60] M. Aslam,et al. Agricultural Drought Analysis Using the NDVI and Land Surface Temperature Data; a Case Study of Raichur District☆ , 2015 .
[61] R.A.M. de Jeu,et al. Using satellite based soil moisture to quantify the water driven variability in NDVI: A case study over mainland Australia , 2014 .
[62] C. Omuto,et al. Chapter 23 - Monitoring Drought with the Combined Drought Index in Kenya , 2013 .
[63] D. Wilhite. Drought as a natural hazard : Concepts and definitions , 2000 .