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A Weekly Indicator of Surface Moisture Status from Satellite Data for Operational Monitoring of Crop Conditions

Francesco Nutini, Daniela Stroppiana, Lorenzo Busetto, Dario Bellingeri, Chiara Corbari, Marco Mancini, Enrico Zini, Pietro Brivio, Mirco Boschetti
2017 Sensors  
These results suggest that weekly-averaged EF estimated from MODIS data is sensible to water stress conditions and can be used as an indicator of crops' moisture conditions at agronomical district level  ...  Weekly syntheses of the daily EF indicator (EF w ) were then derived at regional scale for the years 2010, 2011 and 2012 as a proxy of overall surface moisture condition.  ...  weekly indicator of surface moisture status (EF w ) in Northern Italy.  ... 
doi:10.3390/s17061338 pmid:28598399 pmcid:PMC5492004 fatcat:k73upfpdsndmzdwme7msjhrcsq

Agricultural drought : Assessment & monitoring

2021 Mausam  
Monitoring and assessment of drought is a very critical component of the drought management strategy aimed at mitigation of its adverse impacts.  ...  Satellite remote sensing enables deriving indicators that explain the prevalence, severity, persistence and spatial extent of the area affected by drought.  ...  Acknowledgements We express our sincere gratitude to all the former Directors and Deputy Directors of NRSC (since 1986) for their sustained support of the execution of NADAMS project.  ... 
doi:10.54302/mausam.v67i1.1155 fatcat:dad2qtyuevdbleweqrw27h7mni

US national cropland soil moisture monitoring using SMAP

Zhengwei Yang, Rick Mueller, Wade Crow
2013 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS  
The purpose of using remote sensed SMAP data for crop soil moisture monitoring is to eliminate data collection subjectivity, reduce cost, increase cropland soil moisture monitoring data consistency, and  ...  This paper investigates at the pre-launch stage the feasibility of using NASA SMAP mission results for US national operational crop soil moisture monitoring.  ...  For cropland-specific monitoring, a crop mask derived from NASS Cropland Data Layer [2] [3] [4] .  ... 
doi:10.1109/igarss.2013.6723645 dblp:conf/igarss/YangMC13 fatcat:frbbp3pv6bczhn7a2g7hgc4xwa

Using a Diagnostic Soil-Plant-Atmosphere Model for Monitoring Drought at Field to Continental Scales

Martha C. Anderson, Carmelo Cammalleri, Christopher R. Hain, Jason Otkin, Xiwu Zhan, William Kustas
2013 Procedia Environmental Sciences  
In comparison with vegetation indices, LST is a relatively fast-response variable, with the potential for providing early warning of crop stress reflected in increasing canopy temperatures.  ...  Actual ET is retrieved from thermal remote sensing data using a diagnostic soil-plant-atmosphere modeling system forced by measurements of morning land-surface temperature (LST) rise from geostationary  ...  These multi-scale assessments of anomalous crop water use have potential utility for regional drought and crop condition monitoring as well as for water management and yield estimation.  ... 
doi:10.1016/j.proenv.2013.06.006 fatcat:r3jxcpuu45fqrb3uqirporuij4

Consistency between NASS Surveyed Soil Moisture Conditions and SMAP Soil Moisture Observations

A. Colliander, Zhengwei Yang, Rick Mueller, Avery Sandborn, Rolf Reichle, Wade Crow, Dara Entekhabi, Simon Yueh
2019 Water Resources Research  
This consistency allows for combining the two different types of data to produce a value-added assessment, which enables cropland soil moisture mapping and state-level statistics.  ...  Department of Agriculture National Agricultural Statistics Survey (NASS) collects and publishes crop growth status and soil moisture conditions in major U.S. agricultural regions.  ...  a derivation of an equivalent SM indicator from the SMAP observations should be feasible.  ... 
doi:10.1029/2018wr024475 fatcat:euxp7745t5exvkmnx7ibjfse3q

Czech Drought Monitor System for Monitoring and Forecasting Agricultural Drought and Drought Impacts

Miroslav Trnka, Petr Hlavinka, Martin Možný, Daniela Semerádová, Petr Štěpánek, Jan Balek, Lenka Bartošová, Pavel Zahradníček, Monika Bláhová, Petr Skalák, Aleš Farda, Michael Hayes (+5 others)
2020 International Journal of Climatology  
model, which runs based on high-density network data from the Czech Hydrometeorological Institute with a 55-year reference period; (c) weekly reports on vegetation condition, which is deduced from satellite-based  ...  It uses an operational modelling system that consists of four pillars: (a) weekly soil moisture estimates based on spaceborne Advanced Scatterometer sensor measurements; (b) the daily SoilClim soil moisture  ...  ACKNOWLEDGEMENTS We kindly acknowledge the CHMI for the provision of data.  ... 
doi:10.1002/joc.6557 fatcat:3v45u3kqwbhv5gwf6r7ocjnj5i

Remote Sensing for Irrigation of Horticultural Crops

2017 Horticulturae  
A very large body of research, spanning almost four decades, has demonstrated that much of the required agricultural information can be derived from remotely sensed data [28] starting from crop water status  ...  Monitoring water use and crop water status in the field is important for developing effective precautions, and for this purpose, some indicators are required [27] .  ...  [127] confirmed the maturing technology of SEBAL and METRIC for deriving a satellite-driven surface energy balance for estimating ET from the ground's surface.  ... 
doi:10.3390/horticulturae3020040 fatcat:4axxl4k5yfagbdca6sojbu2baq

Validation of soil moisture derived from water balance method and satellite observation

2021 Mausam  
The spatial comparison of SM estimated from model and satellite SM for the monsoon season shows a greater degree of coherence over most parts of India.  ...  Under the present study estimation of high resolution soil moisture (SM) under Pan India mode using simple water balance method and from satellite data has been explored.  ...  Acknowledgments The authors would like to thank National Climate Centre (NCC), IMD Pune, for providing gridded rainfall ground station data and Agromet technical section for providing in-situ soil moisture  ... 
doi:10.54302/mausam.v68i2.630 fatcat:l2qjmj3egrgindzwjto7sziyhy

Water monitoring of soybean crops using the TVDI obtained from surface radiometric sensors

Lucimara Wolfarth Schirmbeck, Denise Cybis Fontana, Juliano Schirmbeck, Genei Antonio Dalmago, José Maurício Cunha Fernandes
2022 Pesquisa Agropecuária Brasileira  
The objective of this work was to evaluate the use of the surface moisture data generated by the temperature-vegetation dryness index (TVDI), obtained from sensors positioned on the surface of a soybean  ...  The displacement of radiometric data measured on the surface (NDVI and TS) within the evaporative triangle, adjusted with orbital data, consistently describes the variability of water conditions during  ...  ); to Elisson Stephânio Savi Pauletti and Cristian Maicol Plentz, employees of Embrapa Trigo, for helping to conduct the experiment and collect data; and to Granja Capão Alto, for their partnership.  ... 
doi:10.1590/s1678-3921.pab2022.v57.02581 fatcat:a7fuy2qrknaonfepwsaonm3xzu

Capabilities of Satellite-Derived Datasets to Detect Consecutive Indian Monsoon Droughts of 2014 and 2015

Satya Prakash
2018 Current Science  
Processing of the papain precursor. The ionization state of a conserved amino acid motif within the Pro region participates in the regulation of intramolecular processing.  ...  MSDI is a better indicator than SPI and SSI alone for drought detection and monitoring.  ...  However, an operational assessment of droughts over India needs to be done based on a combination of drought indices.  ... 
doi:10.18520/cs/v114/i11/2362-2368 fatcat:7dlb74ovr5hktbz4thk25qlkua

Preliminary assessment of an integrated SMOS and MODIS application for global agricultural drought monitoring

N. Sanchez, A. Gonzalez-Zamora, J. Martinez-Fernandez, M. Piles, M. Pablos, Brian Wardlow, Tsegaye Tadesse, Mark Svoboda
2017 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)  
The index integrates surface soil moisture from the SMOS mission with land surface temperature (LST) and Normalized Difference Vegetation Index (NDVI) from MODIS and allows for global drought monitoring  ...  Results show a good agreement between SMADI and the Crop Moisture Index (CMI) retrieved at five weather stations (with correlation coefficient, R from -0.64 to -0.79) and the Soil Water Deficit Index (  ...  The authors also acknowledge the AEMet (Spanish Meteorological Agency) for providing the climatic databases.  ... 
doi:10.1109/igarss.2017.8127374 dblp:conf/igarss/SanchezGMPPWTS17 fatcat:jdbyxxpjo5g27g3hwltyc5g4cu

Monitoring Crop Status in the Continental United States Using the SMAP Level-4 Carbon Product

Patrick M. Wurster, Marco Maneta, John S. Kimball, K. Arthur Endsley, Santiago Beguería
2021 Frontiers in Big Data  
Retrievals of soil moisture and vegetation information from satellite-based remote-sensing products offer an opportunity for continuous and affordable crop condition monitoring.  ...  This study compared weekly anomalies in accumulated gross primary production (GPP) from the SMAP Level-4 Carbon (L4C) product to anomalies calculated from a state-scale weekly crop condition index (CCI  ...  For over 40 years, vegetation indices derived from global satellite remote sensing observations have provided some insights into crop condition over the course of the growing season.  ... 
doi:10.3389/fdata.2020.597720 pmid:33693422 pmcid:PMC7931861 fatcat:to43cqx4mbbefihqkbzy6tw2si

Drought Monitoring and Assessment

Mat Journals, L. Sharath
2019 Figshare  
Remote sensing and hydrologic modeling techniques are used to generate a suite of drought monitoring indicators.  ...  Agro-hydrologic models are used to combine several satellite data products to produce multiple short- and long-term indicators of droughts.  ...  ., [5] planned recently, a straightforward technique for period surface status estimationperpendicular drought indices supported red and near-infrared wavelengths of satellite knowledge has been developed  ... 
doi:10.6084/m9.figshare.8143010 fatcat:fanupefbxfbsxo6nkrumyqearq

Agricultural Drought Monitoring via the Assimilation of SMAP Soil Moisture Retrievals Into a Global Soil Water Balance Model

Iliana E. Mladenova, John D. Bolten, Wade Crow, Nazmus Sazib, Curt Reynolds
2020 Frontiers in Big Data  
This paper focuses on evaluating the benefit of assimilating soil moisture retrievals from the Soil Moisture Active Passive (SMAP) mission into the USDA-FAS Palmer model for agricultural drought monitoring  ...  From an agricultural perspective, drought refers to an unusual deficiency of plant available water in the root-zone of the soil profile.  ...  Therefore, starting in 2014, the operational USDA-FAS Palmer model was enhanced by adding a data assimilation system capable of ingesting surface soil moisture retrievals acquired from satellite-based  ... 
doi:10.3389/fdata.2020.00010 pmid:33693385 pmcid:PMC7931972 fatcat:q4uc3wldfbb4nkpnapblumaove

Optical and Thermal Remote Sensing for Monitoring Agricultural Drought

Qiming Qin, Zihua Wu, Tianyuan Zhang, Vasit Sagan, Zhaoxu Zhang, Yao Zhang, Chengye Zhang, Huazhong Ren, Yuanheng Sun, Wei Xu, Cong Zhao
2021 Remote Sensing  
By effectively observing the land surface and obtaining farmland conditions, satellite remote sensing has played an essential role in agricultural drought monitoring over past decades.  ...  For each category, a concise explanation is given to show the inherent mechanisms.  ...  [240] proposed the atmosphere-land exchange (ALEXI) model, which uses thermal infrared data from the Geostationary Operational Environmental Satellite (GOES) and LAI products from MODIS to simulate  ... 
doi:10.3390/rs13245092 fatcat:iuvq5u5hcrdclhd2oqn2qokree
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