Journal ArticleDOI
Concurrent use of active and passive microwave remote sensing data for monitoring of rice crop
TLDR
The temporal signature from each of these sensors was found to complement each other in crop growth monitoring and the decrease of backscatter after first peak was associated with the threshold value of 60% crop canopy cover.About:
This article is published in International Journal of Applied Earth Observation and Geoinformation.The article was published on 2008-09-01. It has received 32 citations till now. The article focuses on the topics: Microwave radiometer & Scatterometer.read more
Citations
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Journal ArticleDOI
A Review: The Role of Remote Sensing in Precision Agriculture
TL;DR: This review highlighted on remote sensing technology and describes how it can be used as an effective tool in precision agriculture.
Journal ArticleDOI
Integrating remote sensing, census and weather data for an assessment of rice yield, water consumption and water productivity in the Indo-Gangetic river basin.
Xueliang Cai,Bharat R. Sharma +1 more
TL;DR: In this paper, a simplified approach to map rice (Oryza sativa L.) water consumption, yield, and water productivity in the Indo-Gangetic Basin (IGB) by combining remotely sensed imagery, national census and meteorological data was presented.
Journal ArticleDOI
Assessment of toxicity risk of insecticides used in rice ecosystem on Trichogramma japonicum, an egg parasitoid of rice lepidopterans.
TL;DR: The toxicity of commonly used insecticides on a biological control agent, Trichogramma japonicum Ahmead, is assessed by using a dry film residue method and risk quotient analysis showed that phenylpyrazoles, pyrethroids, insect growth regulators, neonicotinoids, and antibiotics are classified as safe agents to the parasitoid.
Journal ArticleDOI
Characterization of Crop Canopies and Water Stress Related Phenomena using Microwave Remote Sensing Methods: A Review
TL;DR: In this paper, the authors reviewed the use of microwave remote sensing methods for characterizing crop canopies and vegetation water stress related phenomena, including both active and passive systems that are ground-based, airborne, or spaceborne.
Journal ArticleDOI
The Future of Digital Agriculture: Technologies and Opportunities
TL;DR: This article presents key technological advances in the digital agriculture, which will have significant impact on agricultural production in terms of productivity and sustainability.
References
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Fundamentals of rice crop science
TL;DR: Yoshida, Shouichi as discussed by the authors, et al. 1981.Fundamentals of rice crop science, report,Laguna, PhilippinesInternational Rice Research Institute (IRI),
Journal ArticleDOI
The derivation of the green vegetation fraction from NOAA/AVHRR data for use in numerical weather prediction models
Garik Gutman,Alexander Ignatov +1 more
TL;DR: In this article, the potential of deriving these two variables from the NOAA Advanced Very High Resolution Radiometer (AVHRR) normalized difference vegetation index (NDVI) data is explored.
Journal ArticleDOI
Season-long daily measurements of multifrequency (Ka, Ku, X, C, and L) and full-polarization backscatter signatures over paddy rice field and their relationship with biological variables
TL;DR: In this article, the authors investigated the interaction between microwave backscatter signatures and rice canopy growth variables, as well as provided definitive insight into the interactions between microwave signatures and vegetation based on a comprehensive data set collected under the unique crop conditions of paddy rice.
Journal ArticleDOI
Image reconstruction and enhanced resolution imaging from irregular samples
D.S. Early,David G. Long +1 more
TL;DR: This paper discusses a general theory and techniques for image reconstruction and creating enhanced resolution images from irregularly sampled data, and shows that with minor modification, the algebraic reconstruction technique (ART) is functionally equivalent to Grochenig's irregular sampling reconstruction algorithm.
Journal ArticleDOI
Using the Special Sensor Microwave/Imager to Monitor Land Surface Temperatures, Wetness, and Snow Cover
TL;DR: In this article, a method has been developed to calculate near-surface temperature using measurements from the Special Sensor Microwave/Imager (SSM/I) using training datasets.
Related Papers (5)
Evaluation of Ku-band QuikSCAT scatterometer data for rice crop growth stage assessment
Sandip R. Oza,Jai Singh Parihar +1 more