Damage estimation on agricultural crops by a flood

Silva-Aguila, Nalleli del Carmen; López‐Caloca, Alejandra A.; Silván-Cárdenas, José Luis

doi:10.1117/12.897924

Cited by 2 publications

(8 citation statements)

References 14 publications

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“…Fine spatial resolution images (e.g., SPOT, IKONOS2) are also used for land cover mapping and crop field identification to support flood-intensity-based crop loss assessment [47][48][49]. Van der Sande et al [49] mapped land cover through object-based image classification (segmentation approach) using IKONOS 2 images for assisting flood damage assessment.…”

Section: Remote Sensing Data Utilizationmentioning

confidence: 99%

“…Many case studies utilized microwave remote sensing, especially SAR, for flood delineation and crop mapping to overcome optical sensors' inability to see through clouds [30,37,47,54,57]. Rice crop areas were detected through thresholding of COSMO-SkyMed sigma naught for the assessment of crop loss by flooding of Typhoon Haiyan [54].…”

Section: Remote Sensing Data Utilizationmentioning

confidence: 99%

“…Similarly, Haldar et al [37] delineated a flood inundation map by thresholding RADARSAT and RISAT backscatters. Waisurasingha et al [30] and del Carmen Silva-Aguila et al [47] mapped flood depth by combining the inundated area derived from the RADARSAT C band and DEM. Similar to optical remote sensing, supervised classification of pre-and post-flood SAR data were used to assess the degree of crop damage [32,57].…”

Section: Remote Sensing Data Utilizationmentioning

confidence: 99%

“…The depth-damage curve was used as a continuous function for crop loss assessment, where x-axis and y-axis represent flood depth and corresponding loss, respectively. Many studies used three to four depth classes and associated potential damage in crop loss assessment [47,[60][61][62]. Waisurasingha et al [30] and Pacetti et al [63] used 80 and 100 cm flood-depth threshold to determine crop damage.…”

Section: Flood-intensity-based Crop Loss Assessmentmentioning

confidence: 99%

“…Forte et al [29] utilized a generalized depth-damage curve for the agricultural sector for damage estimation. Similarly, del Carmen Silva-Aguila et al [47] utilized four damage classes that correspond to four flood depth classes. The main drawback of these studies is the utilization of a generalized curve or class for all crop types.…”

Section: Flood-intensity-based Crop Loss Assessmentmentioning

confidence: 99%

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A Systematic Review on Case Studies of Remote-Sensing-Based Flood Crop Loss Assessment

Rahman

2020

Agriculture

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This article reviews case studies which have used remote sensing data for different aspects of flood crop loss assessment. The review systematically finds a total of 62 empirical case studies from the past three decades. The number of case studies has recently been increased because of increased availability of remote sensing data. In the past, flood crop loss assessment was very generalized and time-intensive because of the dependency on the survey-based data collection. Remote sensing data availability makes rapid flood loss assessment possible. This study groups flood crop loss assessment approaches into three broad categories: flood-intensity-based approach, crop-condition-based approach, and a hybrid approach of the two. Flood crop damage assessment is more precise when both flood information and crop condition are incorporated in damage assessment models. This review discusses the strengths and weaknesses of different loss assessment approaches. Moderate Resolution Imaging Spectroradiometer (MODIS) and Landsat are the dominant sources of optical remote sensing data for flood crop loss assessment. Remote-sensing-based vegetation indices (VIs) have significantly been utilized for crop damage assessments in recent years. Many case studies also relied on microwave remote sensing data, because of the inability of optical remote sensing to see through clouds. Recent free-of-charge availability of synthetic-aperture radar (SAR) data from Sentinel-1 will advance flood crop damage assessment. Data for the validation of loss assessment models are scarce. Recent advancements of data archiving and distribution through web technologies will be helpful for loss assessment and validation.

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Section: Remote Sensing Data Utilizationmentioning

confidence: 99%

Section: Remote Sensing Data Utilizationmentioning

confidence: 99%

Section: Remote Sensing Data Utilizationmentioning

confidence: 99%

Section: Flood-intensity-based Crop Loss Assessmentmentioning

confidence: 99%

Section: Flood-intensity-based Crop Loss Assessmentmentioning

confidence: 99%

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A Systematic Review on Case Studies of Remote-Sensing-Based Flood Crop Loss Assessment

Rahman

2020

Agriculture

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Economic Implications of Government Flood Control Policy: A Case of Rice in Japan

Kurihara,

Yano,

Maruyama

2024

Agriculture

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Japan’s susceptibility to and severity of floods have necessitated flood control policies by the government. “Overflowing flood control”, in which the floods due to torrential rains are systematically diverted to agricultural lands in the upper to middle reaches, is one of them. More information is needed on the public assessment of the overflowing flood control policy, and this research seeks to bridge this gap. Data evaluating rice affected by the policy were collected from a random nth-price auction using a developed online system. The sample consisted of 47 consumers living in the downstream areas of the Edogawa River, one of Japan’s first-class, or prime, rivers. Data on their attitudes toward the policy were collected with a questionnaire. Multiple ordered probit models are used for regression analysis. The results show that the sample respondents were willing to pay an average of JPY 1578 for 5 kg of rice, slightly higher than the national average rice production cost, and that 36% of the sample agreed with the flood control policy, which is positively associated with large families or owning many assets.

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Damage estimation on agricultural crops by a flood

Cited by 2 publications

References 14 publications

A Systematic Review on Case Studies of Remote-Sensing-Based Flood Crop Loss Assessment

A Systematic Review on Case Studies of Remote-Sensing-Based Flood Crop Loss Assessment

Economic Implications of Government Flood Control Policy: A Case of Rice in Japan

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