Passive Microwave Remote Sensing Soil Moisture Data in Agricultural Drought Monitoring: Application in Northeastern China

Cheng, Tao; Hong, Siyang; Huang, Bensheng; Qiu, Jianxiu; Zhao, Bikui; Tan, Chao

doi:10.3390/w13192777

Cited by 5 publications

(3 citation statements)

References 50 publications

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“…The scope of this technology has expanded from exclusively monitoring winter wheat to encompassing crops like rice and corn. By the Ninth Five-Year Plan in 1998, China's indigenously developed global agricultural RS rapid reporting system, after years of refinement, positioned itself as one of the world's top three agricultural RS monitoring frameworks [7]. This system not only augments the regulation of Chinese grain crop yields but also offers evaluations of crop growth and yield metrics in up to 147 global territories, aligning with the Sustainable Development Goal of Zero Hunger.…”

Section: Rs---remote Sensing Technologymentioning

confidence: 99%

The Evolution and Potential of Precision Agriculture in China Anchored In "3S" Technology.

Feng

2024

HSET

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Agriculture serves as a linchpin for the national economy. With the accelerated evolution of information technology and emergent high-tech innovations, the digitization of agriculture has emerged as a pivotal trajectory for contemporary agricultural advancement. Conventional practices encompassing planting, fertilization, and harvesting are transitioning towards more quantitative, localized, and technologically-driven precision agriculture. Concurrently, with the global surge in "precision agriculture", Chinese academicians have progressively delved into its study. Over the past three decades, the "3S" technology-centric "precision agriculture" in China has witnessed commendable advancements, exemplified by innovations such as the Global Agricultural Remote Sensing Quick Report System and the Beidou Satellite Navigation System-based autonomic agricultural machinery operation. However, the modernization of Chinese agriculture exhibits certain limitations, including limited adoption, suboptimal integration, and a scarcity of high-caliber experts. Given the swift progression of Chinese scientific and economic domains, the "3S" technology is poised to surmount these challenges, enhancing the modernization of Chinese agriculture. Hence, "precision agriculture" anchored in "3S" technology retains significant growth prospects within China.

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Section: Rs---remote Sensing Technologymentioning

confidence: 99%

The Evolution and Potential of Precision Agriculture in China Anchored In "3S" Technology.

Feng

2024

HSET

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“…Among these aforementioned types of droughts, agricultural drought presently stands as the most prevalent form of this phenomenon today [11]. Agricultural drought poses a direct threat to crop production [12].…”

Section: Introductionmentioning

confidence: 99%

A Spatial Downscaling Method for Solar-Induced Chlorophyll Fluorescence Product Using Random Forest Regression and Drought Monitoring in Henan Province

Zhang,

Li,

Qiu

et al. 2024

Remote Sensing

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Drought is a frequent global phenomenon. Solar-induced chlorophyll fluorescence (SIF), an electromagnetic signal, has been proven to be an efficient tool for monitoring and assessing gross primary productivity (GPP) and drought. To address the issue of the sparse resolution of satellite-based SIF, researchers have developed different downscaling algorithms. Recently, the most frequently used SIF products had a spatial resolution of 0.05 degrees. However, these spatial resolution SIF data are not conducive to regional agricultural drought monitoring. In this study, we utilized the global ‘OCO-2’ solar-induced fluorescence (GOSIF) products along with normalized difference vegetation index (NDVI) and land surface temperature (LST) products. With the powerful advantages offered by Google Earth Engine (GEE), we could conveniently acquire the necessary data. Additionally, employing the random forest (RF) method, we successfully acquired downscaled SIF data at an enhanced spatial resolution of 1 km. Using those downscaled SIF results with 1 km resolution, an SIF anomaly index was established and calculated to monitor drought. Results showed that the RF-based downscaled SIF result followed the same trend as the GOSIF value. Subsequently, correlation coefficients between SIF and GPP were calculated. The downscaled SIF demonstrated a higher correlation with GPP from MODIS compared to 0.05-degree GOSIF, with coefficients of 0.74 and 0.68 in May 2018, respectively. Moreover, the SIF anomaly index showed positive correlations with crop yield; the correlation coefficients were 0.93 for wheat and 0.89 for maize. The drought index had a negative correlation with areas affected by drought, with a correlation coefficient of −0.58. Finally, the SIF anomaly index was used to monitor drought from 2001 to 2020 in Henan Province. The 1 km SIF results obtained through the RF-based downscaled method were deemed reliable, thereby establishing the suitability of the SIF anomaly index for drought monitoring at a regional scale.

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“…Goumehei et al (2019) applied the Wishart Markov Random Field (WMRF) which is a combination of Markov random elds with Wishart distribution for the identi cation of surface water bodies from Synthetic Aperture Radar (SAR) data. The microwave data are commonly used to identify water spread and soil moisture due to their capability to penetrate clouds (Sathiyamoorthy et al 2003) and be least affected by atmospheric effects (Cheng et al 2021). With the advent of technology and e cient computing techniques, these data are commonly used for different purposes.…”

Section: Introductionmentioning

confidence: 99%

Efficient Segmentation Algorithm for Estimation of Revised Reservoir Capacities in Google Earth Engine

Jaiswal

Dhruw

Jain

et al. 2023

Water Resour Manage

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The periodic assessment of the revised capacity is essential and conventional techniques through bathymetric surveys and in ow-out ow techniques are time and resource intensive. The unsupervised classi cation of optical remote sensing data is practiced for a long time to reduce the cost of the survey but has the limitation of selecting threshold values and ine cacy of the method during the cloudy season. This research proposed the application of the Otsu segmentation technique in Google Earth Engine (GEE) to determine revised water spread using microwave data. The Otsu technique is e cient in classifying the image into two distinct classes using within and between-class variances (Bangare et al 2015). An application has been developed using Sentinel data in GEE, which has the capacity of cloud-based computing and applied to the four reservoirs of Mahanadi Reservoir Project (MRP) namely Ravishankar Sagar, Murumsilli, Dudhawa, and Sondur reservoir in the Chhattisgarh state of India. The original capacities of these reservoirs vary from 910.51 MCM of Ravishankar (RS) Sagar to 165.89 MCM of Murumsilli reservoir. The revised water spreads computed in the GEE were further used to compute revised volume and in turn the revised cumulative capacities at different levels. The analysis suggested that 17.65% of dead storage (118.26 MCM from 143.00 MCM) and 9.25% of gross storage (85.26 MCM from 910.52 MCM) of RS Sagar has been lost in 42 years (1978 to 2020). Similarly, 10.33% gross capacity of Murumsilli, 13.12% of Sondur, and 12.37% of Dudhawa reservoirs has been lost due to the deposit of sediments from the catchments, and results were found comparable with bathymetric survey results of three reservoirs. The proposed application has been developed in GEE so it can be used in any part of the world in cloudy weather with no human interference.

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Passive Microwave Remote Sensing Soil Moisture Data in Agricultural Drought Monitoring: Application in Northeastern China

Cited by 5 publications

References 50 publications

The Evolution and Potential of Precision Agriculture in China Anchored In "3S" Technology.

The Evolution and Potential of Precision Agriculture in China Anchored In "3S" Technology.

A Spatial Downscaling Method for Solar-Induced Chlorophyll Fluorescence Product Using Random Forest Regression and Drought Monitoring in Henan Province

Efficient Segmentation Algorithm for Estimation of Revised Reservoir Capacities in Google Earth Engine

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