scholarly journals Brief communication: Western Europe flood in 2021: mapping agriculture flood exposure from SAR

2021 ◽  
Author(s):  
Kang He ◽  
Qing Yang ◽  
Xinyi Shen ◽  
Emmanouil N. Anagnostou
Keyword(s):  
Coastal Area ◽  
Extreme Precipitation ◽  
Western Europe ◽  
Agricultural Land ◽  
Arable Land ◽  
Flood Inundation ◽  
Corine Land Cover ◽  
Inundation Maps ◽  
Flood Exposure ◽  
Land Cover Map

Abstract. In this communication, we present the exposure of agriculture lands to the flooding caused by extreme precipitation in western Europe from 12th to 15th of July 2021. Overlaying the flood inundation maps derived from the near-real-time RAdar-Produced Inundation Diary (RAPID) system on the CORINE land cover map we estimate a 2470 km2 area affected by the flooding, with 57 % representing agricultural land. Among the inundated agricultural land, 36 % of the area is pastures while 33 % is arable land. Most agricultural flood exposure is found in south-eastern France (~1680 km2) along Rhône River and the coastal area of Marseille and Montpellier.

scholarly journals Operational Flood Mapping Using Multi-Temporal Sentinel-1 SAR Images: A Case Study from Bangladesh

2019 ◽  
Vol 11 (13) ◽  
pp. 1581 ◽  
Author(s):  
Uddin ◽  
Matin ◽  
Meyer
Keyword(s):  
Land Cover ◽  
Flood Frequency ◽  
Landsat 8 ◽  
Flood Inundation ◽  
Inundation Maps ◽  
Flood Inundation Mapping ◽  
Multi Temporal ◽  
Land Cover Map ◽  
Hazard Response ◽  
Land Cover Maps

Bangladesh is one of the most flood-affected countries in the world. In the last few decades, flood frequency, intensity, duration, and devastation have increased in Bangladesh. Identifying flood-damaged areas is highly essential for an effective flood response. This study aimed at developing an operational methodology for rapid flood inundation and potential flood damaged area mapping to support a quick and effective event response. Sentinel-1 images from March, April, June, and August 2017 were used to generate inundation extents of the corresponding months. The 2017 pre-flood land cover maps were prepared using Landsat-8 images to identify major land cover on the ground before flooding. The overall accuracy of flood inundation mapping was 96.44% and the accuracy of the land cover map was 87.51%. The total flood inundated area corresponded to 2.01%, 4.53%, and 7.01% for the months April, June, and August 2017, respectively. Based on the Landsat-8 derived land cover information, the study determined that cropland damaged by floods was 1.51% in April, 3.46% in June, 5.30% in August, located mostly in the Sylhet and Rangpur divisions. Finally, flood inundation maps were distributed to the broader user community to aid in hazard response. The data and methodology of the study can be replicated for every year to map flooding in Bangladesh.

Fifty-year flood-inundation maps for El Progreso, Honduras

2002 ◽  
Author(s):  
David L. Kresch ◽  
Mark C. Mastin ◽  
T.D. Olsen
Keyword(s):  
Flood Inundation ◽  
Inundation Maps

Fifty-year flood-inundation maps for Siguatepeque, Honduras

2002 ◽  
Author(s):  
David L. Kresch ◽  
Mark C. Mastin ◽  
T.D. Olsen
Keyword(s):  
Flood Inundation ◽  
Inundation Maps

scholarly journals A Comparison of Approaches to Regional Land-Use Capability Analysis for Agricultural Land-Planning

Land ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 458
Author(s):  
Tara A. Ippolito ◽  
Jeffrey E. Herrick ◽  
Ekwe L. Dossa ◽  
Maman Garba ◽  
Mamadou Ouattara ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Crop Production ◽  
Agricultural Land ◽  
Arable Land ◽  
Agricultural Activity ◽  
Field Samples ◽  
Agricultural Potential ◽  
Fertility Data ◽  
Using Data

Smallholder agriculture is a major source of income and food for developing nations. With more frequent drought and increasing scarcity of arable land, more accurate land-use planning tools are needed to allocate land resources to support regional agricultural activity. To address this need, we created Land Capability Classification (LCC) system maps using data from two digital soil maps, which were compared with measurements from 1305 field sites in the Dosso region of Niger. Based on these, we developed 250 m gridded maps of LCC values across the region. Across the region, land is severely limited for agricultural use because of low available water-holding capacity (AWC) that limits dry season agricultural potential, especially without irrigation, and requires more frequent irrigation where supplemental water is available. If the AWC limitation is removed in the LCC algorithm (i.e., simulating the use of sufficient irrigation or a much higher and more evenly distributed rainfall), the dominant limitations become less severe and more spatially varied. Finally, we used additional soil fertility data from the field samples to illustrate the value of collecting contemporary data for dynamic soil properties that are critical for crop production, including soil organic carbon, phosphorus and nitrogen.

Estimating floodwater depth using SAR-derived flood inundation maps and geomorphic model in kosi river basin (India)

2021 ◽  
pp. 1-26
Author(s):  
Bikash Ranjan Parida ◽  
Gaurav Tripathi ◽  
Arvind Chandra Pandey ◽  
Amit Kumar
Keyword(s):  
River Basin ◽  
Flood Inundation ◽  
Inundation Maps

scholarly journals Toward a Yearly Country-Scale CORINE Land-Cover Map without Using Images: A Map Translation Approach

2021 ◽  
Vol 13 (6) ◽  
pp. 1060
Author(s):  
Luc Baudoux ◽  
Jordi Inglada ◽  
Clément Mallet
Keyword(s):  
Remote Sensing ◽  
Land Cover ◽  
Time Frame ◽  
Superior Performance ◽  
Land Cover Mapping ◽  
Visual Interpretation ◽  
Remote Sensing Images ◽  
Corine Land Cover ◽  
Land Cover Map ◽  
By Products

CORINE Land-Cover (CLC) and its by-products are considered as a reference baseline for land-cover mapping over Europe and subsequent applications. CLC is currently tediously produced each six years from both the visual interpretation and the automatic analysis of a large amount of remote sensing images. Observing that various European countries regularly produce in parallel their own land-cover country-scaled maps with their own specifications, we propose to directly infer CORINE Land-Cover from an existing map, therefore steadily decreasing the updating time-frame. No additional remote sensing image is required. In this paper, we focus more specifically on translating a country-scale remote sensed map, OSO (France), into CORINE Land Cover, in a supervised way. OSO and CLC not only differ in nomenclature but also in spatial resolution. We jointly harmonize both dimensions using a contextual and asymmetrical Convolution Neural Network with positional encoding. We show for various use cases that our method achieves a superior performance than the traditional semantic-based translation approach, achieving an 81% accuracy over all of France, close to the targeted 85% accuracy of CLC.

Analiza modului de utilizare a terenurilor în Regiunea de Dezvoltare Nord a Republicii Moldova

2020 ◽  
Author(s):  
Iurie Bejan ◽  
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Arable Land ◽  
Current Mode ◽  
Climatic Conditions ◽  
Development Region ◽  
Agro Forestry

The land use has undergone some changes in the last 30 years, by reducing the areas with arable land, converting multi-annual plantations into other categories of land, etc. According to the current mode of land use, the Northern Development Region has a pronounced agricultural profile - 80.3% of the total area represents agricultural land. The spatial differentiations regarding the morphological and agro-climatic conditions allowed the identification within the region of areas with agro-forestry and agro-pastoral specializations.

Prospects for increasing the volume of agricultural production for export due to the expansion and intensification of the use of Russian land resources

2021 ◽  
pp. 40-47
Author(s):  
Gennadiy A. Polunin ◽  
Keyword(s):  
Agricultural Production ◽  
Agricultural Land ◽  
Arable Land ◽  
Agricultural Products ◽  
Land Resources ◽  
The Past ◽  
Federal Districts ◽  
Near Future

The article is devoted to substantiating the prospects for increasing the marginal volumes of agricultural production for export in the next four years. Two scenarios of such production are considered: 1) expansion and 2) intensification of the use of land resources. As part of the development of the first scenario, an analysis of the distribution of unused agricultural land, including arable land, by federal districts was carried out. Also, based on the forecast of the introduction of additional annual volumes of acreage in the subjects of the Federation, the calculation of additional volumes of agricultural production, which can be expected in the next four years, was carried out. The analysis of data on the increase in the yield of export-oriented crops over the past five years has been carried out, in the framework of the second scenario, the calculation of the projected additional yield due to the intensification of agriculture is presented. The results of the study indicate that the intensification of agriculture will have the greatest impact on the growth of production and export of agricultural products in the near future.

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