MONITORING OF RICE CROP IN PUNJAB AND HARYANA WITH RESPECT TO RESIDUE BURNING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 This study is based on the fortnightly monitoring of residue burning in fields of kharif rice crops after harvesting in Punjab and Haryana. The kharif rice area (2018–19) was derived using multi-date Sentinel-1A(Microwave SAR) data under FASAL ...
P. Kumar +5 more
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COMPARISON OF AGRICULTURAL SITUATION OF INDIA FOR TWO YEARS (2017 AND 2018) USING VARIOUS DROUGHT ASSESSMENT INDICATORS DURING SOUTH WEST MONSOON SEASON IN INDIA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Agricultural drought is concerned with the soil moisture deficiency in relation to meteorological droughts and climatic factors and their impacts on agricultural production and economic profitability.
S. Saxena +5 more
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ANALYSIS OF REMOTE SENSING-BASED ASSESSMENT OF POTATO STATISTICS AND ITS COMPARISON WITH GOVERNMENT ESTIMATES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Potato (Solanum tuberosum L.) is a major horticultural crop of India. In the present study an effort has been made to evaluate the forecast (area, production and productivity) of potato being carried out under FASAL/CHAMAN project of DAC&FW. For this
P. Kumar +5 more
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Mesoscale Characteristics of Exceptionally Heavy Rainfall during 4–6 May 2023 in Jiangxi, China
Atmosphere, 2023 A long-lasting rainfall event exceeding historical extremes took place in Jiangxi, China, from May 4 to 6, 2023. Because of the concentrated duration of precipitation, it led to significant water accumulation in the northern, central, and southern ...
An Xiao +6 more
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INVENTORY AND ASSESSMENT OF CORIANDER CROP IN THE STATE OF RAJASTHAN USING MULTITEMPORAL REMOTE SENSING DATA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 The present study aims to develop the methodology for inventory and assessment of coriander crop in Rajasthan using remote sensing technique. Sentinel-2A optical data having a spatial resolution of 10 m, from January–March, 2017 were ...
S. Roy +4 more
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Forecasting Breaks and Forecasting During Breaks [PDF]
, 2012 AbstractThis article, which proposes a new approach to forecasting breaks by focusing on the role of information, begins by outlining the eight conditions that are necessary to successfully forecast a break. Section 2 then considers the concepts of unpredictability and information to address the first necessary condition.
Jennifer Castle +2 more
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ASSESSMENT OF RICE BIOMASS PRODUCTION AND YIELD USING SEMI-PHYSICAL APPROACH AND REMOTELY SENSED DATA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 India is one of the world’s largest producers of rice, accounting for 20% of all world rice production. Rice crop occupies nearly 27.6% of the India’s arable land with average consumption per capita/year was ~68.2 kg milled rice.
M. Dwivedi, S. Saxena, Neetu, S. S. Ray
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QUALITY CHECKING OF CROP CUTTING EXPERIMENTS USING REMOTE SENSING DATA: A CASE STUDY FOR RICE CROP IN ODISHA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Under Pradhan Mantri Fasal Bima Yojana (PMFBY), a large number of Crop Cutting Experiments (CCEs) were conducted by Odisha State for Kharif Rice in the year 2016 and 2017.
S. K. Dubey +5 more
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应用气象学报Based on FY-4A geostationary satellite multi-channel data, mesoscale convective systems (MCSs) during three downhill processes of convection strengthening (1 July 2021, 12 June 2022 and 4 August 2022) in Beijing are identified by temperature threshold ...
Yang Yiya +5 more
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For2For: Learning to forecast from forecasts
CoRR, 2020 This paper presents a time series forecasting framework which combines standard forecasting methods and a machine learning model. The inputs to the machine learning model are not lagged values or regular time series features, but instead forecasts produced by standard methods.
Shi Zhao, Ying Feng
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