scholarly journals Paddy Rice Mapping in Thailand Using Time-Series Sentinel-1 Data and Deep Learning Model

2021 ◽  
Vol 13 (19) ◽  
pp. 3994
Author(s):  
Lu Xu ◽  
Hong Zhang ◽  
Chao Wang ◽  
Sisi Wei ◽  
Bo Zhang ◽  
...  
Keyword(s):  
Time Series ◽  
Sustainable Development ◽  
Large Scale ◽  
Management Practices ◽  
Conditional Random Field ◽  
Paddy Rice ◽  
Growth Patterns ◽  
Selection Strategy ◽  
Svm Classifier ◽  
Humid Climate

The elimination of hunger is the top concern for developing countries and is the key to maintain national stability and security. Paddy rice occupies an essential status in food supply, whose accurate monitoring is of great importance for human sustainable development. As one of the most important paddy rice production countries in the world, Thailand has a favorable hot and humid climate for paddy rice growing, but the growth patterns of paddy rice are too complicated to construct promising growth models for paddy rice discrimination. To solve this problem, this study proposes a large-scale paddy rice mapping scheme, which uses time-series Sentinel-1 data to generate a convincing annual paddy rice map of Thailand. The proposed method extracts temporal statistical features of the time-series SAR images to overcome the intra-class variability due to different management practices and modifies the U-Net model with the fully connected Conditional Random Field (CRF) to maintain the edge of the fields. In this study, 758 Sentinel-1 images that covered the whole country from the end of 2018 to 2019 were acquired to generate the annual paddy rice map. The accuracy, precision, and recall of the resultant paddy rice map reached 91%, 87%, and 95%, respectively. Compared to SVM classifier and the U-Net model based on feature selection strategy (FS-U-Net), the proposed scheme achieved the best overall performance, which demonstrated the capability of overcoming the complex cultivation conditions and accurately identifying the fragmented paddy rice fields in Thailand. This study provides a promising tool for large-scale paddy rice monitoring in tropical production regions and has great potential in the global sustainable development of food and environment management.

Applying the climatic water balance to the Volta basin as an accounting framework to aid policy makers in understanding climate pressures on the water-energy-food (W-E-F) nexus

2020 ◽  
Author(s):  
Nathan Forsythe ◽  
David Pritchard ◽  
Hayley Fowler
Keyword(s):  
Sustainable Development ◽  
Water Balance ◽  
Land Management ◽  
Large Scale ◽  
Management Practices ◽  
Spatial Scales ◽  
Policy Makers ◽  
Volta Basin ◽  
Trade Offs ◽  
Moisture Supply

<p>The multinational FutureDAMS consortium -- funded by the UK's Global Challenges Research Fund -- is working to improve the design, selection and operation of dams to support sustainable development. Existing and planned large water storage infrastructure systems have the potential to make a significant contribution towards achieving the Sustainable Development Goals and Paris climate change commitments. But maximising the benefits while minimising the negative social and environmental impacts of large-scale infrastructure in the river basins comprising the multifunctional cores of the Water-Energy-Food (WEF) nexus remains a challenge. One critical aspect of this challenge is the difficulty of achieving uptake of scientific guidance by policy makers and other influential stakeholders.</p><p>The climatic water balance (CWB), i.e. precipitation minus potential evapotranspiration, provides a methodological framework for understanding moisture supply-demand equilibrium at a range of spatial scales including those relevant to land management – administrative districts and tributary watersheds – within basins. The CWB framework understood as an accounting analogy – i.e. rainfall as income, evapotranspiration as expenditure – can be comprehensible to scientific lay persons and help to understand the climate pressures which constrain WEF resource management. Viewed through a CWB framework, rural lands are critical both as determinants of rainfall partitioning between runoff and infiltration as well as areas of consumptive water usage for food production. Runoff entering engineered river systems becomes available for satisfying water supply and (hydropower) energy demands. As a transboundary river basin in a region experiencing substantial demographic growth and with strong aspirations for rapid economic development, inter-sectoral tensions are likely as Volta basin decision makers and economic actors seek to satisfy elements of the W-E-F nexus. By quantifying spatiotemporal moisture supply-demand balance conditions the CWB can provide valuable information to quantify trade-offs and potential synergies resulting from land management practices, infrastructure development and water allocation policies.</p><p>In this work we will examine point/site-based values and spatial aggregates of CWB for a range of locations and scales within the larger Volta basin. For each case we will identify key WEF issues which are influenced by the CWB as well as stakeholders whose decision-making processes could be informed by insights derived from the CWB (accounting) framework.</p>

scholarly journals Management of Soil Resources for Sustainable Development under a Changing Climate

2019 ◽  
Vol 11 (1-2) ◽  
pp. 159-170 ◽  
Author(s):  
MMR Jahangir ◽  
I Jahan ◽  
NJ Mumu
Keyword(s):  
Sustainable Development ◽  
Agricultural Production ◽  
Large Scale ◽  
Management Practices ◽  
Greenhouse Gas Emission ◽  
Global Climate ◽  
Holistic Approach ◽  
Resource Use Efficiency ◽  
Soil Resources ◽  
Use Efficiency

Development was conventionally driven by one particular need, without fully considering the wider or future impacts. This kind of approach has now been considered to be responsible for the economic and environmental catastrophes that humans are facing: from large scale financial crises caused by irresponsible banking to the changes in global climate resulting from our dependence on fossil fuel based energy sources. Soils provide essential ecosystem services such as primary production, regulation of biogeochemical cycles (with consequences for the climate), water filtration, resistance to diseases and pests, and regulation of above-ground biodiversity. Changing of the climate systems is unequivocal. Adaptation to global climate change through improved soil quality by adoption of improved management practices is key to maintaining sustainable agricultural production. A holistic approach to soil management as the engine for increasing productivity by increasing resource use efficiency and making agriculture environmentally compatible is more important than ever before. Strategies of greenhouse gas emission reduction include those that increase the use efficiency of inputs. Herein, we discussed how management and protection of soil resources can contribute to sustainable development through sustainable agricultural production while maintaining sustenance of soil fertility. J. Environ. Sci. & Natural Resources, 11(1-2): 159-170 2018

scholarly journals Detection of Crop Seeding and Harvest through Analysis of Time-Series Sentinel-1 Interferometric SAR Data

2020 ◽  
Vol 12 (10) ◽  
pp. 1551 ◽  
Author(s):  
Jiali Shang ◽  
Jiangui Liu ◽  
Valentin Poncos ◽  
Xiaoyuan Geng ◽  
Budong Qian ◽  
...  
Keyword(s):  
Time Series ◽  
Dielectric Properties ◽  
Optical Sensors ◽  
Management Practices ◽  
Weather Conditions ◽  
Growth Patterns ◽  
Detection Techniques ◽  
Harvest Dates ◽  
Sar Data ◽  
Interferometric Sar

Synthetic aperture radar (SAR) is more sensitive to the dielectric properties and structure of the targets and less affected by weather conditions than optical sensors, making it more capable of detecting changes induced by management practices in agricultural fields. In this study, the capability of C-band SAR data for detecting crop seeding and harvest events was explored. The study was conducted for the 2019 growing season in Temiskaming Shores, an agricultural area in Northern Ontario, Canada. Time-series SAR data acquired by Sentinel-1 constellation with the interferometric wide (IW) mode with dual polarizations in VV (vertical transmit and vertical receive) and VH (vertical transmit and horizontal receive) were obtained. interferometric SAR (InSAR) processing was conducted to derive coherence between each pair of SAR images acquired consecutively in time throughout the year. Crop seeding and harvest dates were determined by analyzing the time-series InSAR coherence and SAR backscattering. Variation of SAR backscattering coefficients, particularly the VH polarization, revealed seasonal crop growth patterns. The change in InSAR coherence can be linked to change of surface structure induced by seeding or harvest operations. Using a set of physically based rules, a simple algorithm was developed to determine crop seeding and harvest dates, with an accuracy of 85% (n = 67) for seeding-date identification and 56% (n = 77) for harvest-date identification. The extra challenge in harvest detection could be attributed to the impacts of weather conditions, such as rain and its effects on soil moisture and crop dielectric properties during the harvest season. Other factors such as post-harvest residue removal and field ploughing could also complicate the identification of harvest event. Overall, given its mechanism to acquire images with InSAR capability at 12-day revisiting cycle with a single satellite for most part of the Earth, the Sentinel-1 constellation provides a great data source for detecting crop field management activities through coherent or incoherent change detection techniques. It is anticipated that this method could perform even better at a shorter six-day revisiting cycle with both satellites for Sentinel-1. With the successful launch (2019) of the Canadian RADARSAT Constellation Mission (RCM) with its tri-satellite system and four polarizations, we are likely to see improved system reliability and monitoring efficiency.

Good Management Practices in Managing the Most Important Factors to Ensure Dureble Soil Quality

2017 ◽  
Vol 68 (10) ◽  
pp. 2350-2357
Author(s):  
George Ungureanu ◽  
Gabriela Ignat ◽  
Eduard Boghita ◽  
Luiza Costuleanu ◽  
Catalin Razvan Vintu ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Management Practices ◽  
Programming Model ◽  
Farming Systems ◽  
Economic Incentives ◽  
Silage Maize ◽  
Cash Crops ◽  
Raising Awareness ◽  
Fodder Grass ◽  
Alfalfa Silage

The importance of sustainable development has started to be acknowledged in Romania as well, once the various pollution sources and the restrictions affecting industrial and agricultural pollution were identified, from an economic and ecological standpoint. Sustainable development represents the need of raising awareness about environmental protection and educating people, and this aspect is reflected by the evolution of communal policies in recent years, policies marked by a shift from an approach based on constraints and sanctions to a higher level of flexibility, based on incentives. The purpose of this paper is to make a recommendation for improving existing policy by making an assessment of economic incentives in order to stimulate farmers to adopt sustainable farming systems of a viable, sustainable agriculture, capable to apply the newest technologies and lead to profit and efficiency, to the economical and organizational consolidation. To analyse the effects of different zone packages on income of farmers and the environment a linear programming model is developed for a typical, 192 ha mixed farm in the Iasi region plain pilot area. The major activities of the farm is keeping dairy cattle, growing fodder (grass, alfalfa, silage maize) and cash crops (winter wheat and maize).

Sustainable Production of Honeydew and Muskmelon in Western Mexico

HortScience ◽  
1998 ◽  
Vol 33 (3) ◽  
pp. 495d-495
Author(s):  
J. Farias-Larios ◽  
A. Michel-Rosales
Keyword(s):  
Large Scale ◽  
Management Practices ◽  
Glomus Intraradices ◽  
Cultural Practices ◽  
Bare Soil ◽  
Western Mexico ◽  
First Results ◽  
Legume Cover Crop ◽  
Banana Leaves ◽  
Research Show

In Western Mexico, melon production depends on high-input systems to maximize yield and product quality. Tillage, plasticulture, fumigation with methyl bromide, and fertigation, are the principal management practices in these systems. However, at present several problems has been found: pests as sweetpotato whitefly (Bemisia tabaci Gennadius), aphids (Myzus and Aphis), leafminer (Liryomiza sativae); diseases as Fusarium, Verticilium, and Pseudoperenospora, and weeds demand high pesticide utilization and labor. There is a growing demand for alternative cultural practices, with an emphasis on reducing off-farm input labor and chemicals. Our research is based on use of organic mulches, such as: rice straw, mature maize leaves, banana leaves, sugarcane bagasse, coconut leaves, and living mulches with annual legume cover crop in melons with crop rotation, such as: Canavalia, Stilozobium, Crotalaria, and Clitoria species. Also, inoculations with mycorrhizal arbuscular fungi for honeydew and cantaloupe melon seedlings production are been assayed in greenhouse conditions for a transplant system. The use of life barriers with sorghum, marigold, and other aromatic native plants in conjunction with a colored yellow systems traps for monitoring pests is being studied as well. While that the pest control is based in commercial formulations of Beauveria bassiana for biological control. The first results of this research show that the Glomus intraradices, G. fasciculatum, G. etunicatum, and G. mosseae reached 38.5%, 33.5%, 27.0%, and 31.0% of root infection levels, respectively. Honeydew melons production with rice and corn straw mulches shows an beneficial effect with 113.30 and 111.20 kg/plot of 10 m2 compared with bare soil with 100.20 kg. The proposed system likely also lowers production cost and is applicable to small- and large-scale melon production.

Large-Scale Application of Biofiltration Swale Runoff Management Practices

2007 ◽  
Vol 2 (2) ◽  
Author(s):  
William C. Lucas
Keyword(s):  
Large Scale ◽  
Management Practices ◽  
Peak Flow ◽  
Low Impact Development ◽  
Urban Runoff ◽  
Management Model ◽  
Check Dams ◽  
Runoff Reduction ◽  
Impervious Area ◽  
Hydrologic Responses

Retaining rainfall where it lands is a fundamental benefit of Low Impact Development (LID). The Delaware Urban Runoff Management Model (DURMM) was developed to address the benefits of LID design. DURMM explicitly addresses the benefits of impervious area disconnection as well as swale flow routing that responds to flow retardance changes. Biofiltration swales are an effective LID BMP for treating urban runoff. By adding check dams, the detention storage provided can also reduce peak rates. This presentation explores how the DURMM runoff reduction approach can be integrated with detention routing procedures to project runoff volume and peak flow reductions provided by BMP facilities. This approach has been applied to a 1,200 unit project on 360 hectares located in Delaware, USA. Over 5 km of biofiltration swales have been designed, many of which have stone check dams placed every 30 to 35 meters to provide detention storage. The engineering involved in the design of such facilities uses hydrologic modeling based upon TR-20 routines, as adapted by the DURMM model. The hydraulic approach includes routing of flows through the check dams. This presentation summarizes the hydrological network, presents the hydrologic responses, along with selected hydrographs to demonstrate the potential of design approach.

scholarly journals Precision Agriculture for Resource Use Efficiency in Smallholder Farming Systems in Sub-Saharan Africa: A Systematic Review

2021 ◽  
Vol 13 (3) ◽  
pp. 1158
Author(s):  
Cecilia M. Onyango ◽  
Justine M. Nyaga ◽  
Johanna Wetterlind ◽  
Mats Söderström ◽  
Kristin Piikki
Keyword(s):  
Resource Use ◽  
Precision Agriculture ◽  
Large Scale ◽  
English Language ◽  
Management Practices ◽  
Smallholder Farmers ◽  
Management Strategies ◽  
Sub Saharan Africa ◽  
Smallholder Farming ◽  
Sub Saharan

Opportunities exist for adoption of precision agriculture technologies in all parts of the world. The form of precision agriculture may vary from region to region depending on technologies available, knowledge levels and mindsets. The current review examined research articles in the English language on precision agriculture practices for increased productivity among smallholder farmers in Sub-Saharan Africa. A total of 7715 articles were retrieved and after screening 128 were reviewed. The results indicate that a number of precision agriculture technologies have been tested under SSA conditions and show promising results. The most promising precision agriculture technologies identified were the use of soil and plant sensors for nutrient and water management, as well as use of satellite imagery, GIS and crop-soil simulation models for site-specific management. These technologies have been shown to be crucial in attainment of appropriate management strategies in terms of efficiency and effectiveness of resource use in SSA. These technologies are important in supporting sustainable agricultural development. Most of these technologies are, however, at the experimental stage, with only South Africa having applied them mainly in large-scale commercial farms. It is concluded that increased precision in input and management practices among SSA smallholder farmers can significantly improve productivity even without extra use of inputs.

scholarly journals Subsidence Monitoring of Fill Area in Yan’an New District Based on Sentinel-1A Time Series Imagery

2021 ◽  
Vol 13 (15) ◽  
pp. 3044
Author(s):  
Mingjie Liao ◽  
Rui Zhang ◽  
Jichao Lv ◽  
Bin Yu ◽  
Jiatai Pang ◽  
...  
Keyword(s):  
Time Series ◽  
Large Scale ◽  
Ground Deformation ◽  
Dynamic Change ◽  
Deformation Monitoring ◽  
Chinese Loess Plateau ◽  
Ground Subsidence ◽  
Shanxi Province ◽  
Environment Change ◽  
Loess Area

In recent years, many cities in the Chinese loess plateau (especially in Shanxi province) have encountered ground subsidence problems due to the construction of underground projects and the exploitation of underground resources. With the completion of the world’s largest geotechnical project, called “mountain excavation and city construction,” in a collapsible loess area, the Yan’an city also appeared to have uneven ground subsidence. To obtain the spatial distribution characteristics and the time-series evolution trend of the subsidence, we selected Yan’an New District (YAND) as the specific study area and presented an improved time-series InSAR (TS-InSAR) method for experimental research. Based on 89 Sentinel-1A images collected between December 2017 to December 2020, we conducted comprehensive research and analysis on the spatial and temporal evolution of surface subsidence in YAND. The monitoring results showed that the YAND is relatively stable in general, with deformation rates mainly in the range of −10 to 10 mm/yr. However, three significant subsidence funnels existed in the fill area, with a maximum subsidence rate of 100 mm/yr. From 2017 to 2020, the subsidence funnels enlarged, and their subsidence rates accelerated. Further analysis proved that the main factors induced the severe ground subsidence in the study area, including the compressibility and collapsibility of loess, rapid urban construction, geological environment change, traffic circulation load, and dynamic change of groundwater. The experimental results indicated that the improved TS-InSAR method is adaptive to monitoring uneven subsidence of deep loess area. Moreover, related data and information would provide reference to the large-scale ground deformation monitoring and in similar loess areas.

scholarly journals Meso- and microscale sea-ice motion in the East Siberian Sea as determined from ERS-1 SAR Data

1999 ◽  
Vol 45 (150) ◽  
pp. 370-383 ◽  
Author(s):  
Kim Morris ◽  
Shusun Li ◽  
Martin Jeffries
Keyword(s):  
Time Series ◽  
Sea Ice ◽  
Large Scale ◽  
Vector Fields ◽  
Lateral Displacement ◽  
Motion Vector ◽  
Sar Interferometry ◽  
East Siberian Sea ◽  
Pack Ice ◽  
Sar Data

Abstract Synthetic aperture radar- (SAR-)derived ice-motion vectors and SAR interferometry were used to study the sea-ice conditions in the region between the coast and 75° N (~ 560 km) in the East Siberian Sea in the vicinity of the Kolyma River. ERS-1 SAR data were acquired between 24 December 1993 and 30 March 1994 during the 3 day repeat Ice Phase of the satellite. The time series of the ice-motion vector fields revealed rapid (3 day) changes in the direction and displacement of the pack ice. Longer-term (≥ 1 month) trends also emerged which were related to changes in large-scale atmospheric circulation. On the basis of this time series, three sea-ice zones were identified: the near-shore, stationary-ice zone; a transitional-ice zone;and the pack-ice zone. Three 3 day interval and one 9 day interval interferometric sets (amplitude, correlation and phase diagrams) were generated for the end of December, the begining of February and mid-March. They revealed that the stationary-ice zone adjacent to the coast is in constant motion, primarily by lateral displacement, bending, tilting and rotation induced by atmospheric/oceanic forcing. The interferogram patterns change through time as the sea ice becomes thicker and a network of cracks becomes established in the ice cover. It was found that the major features in the interferograms were spatially correlated with sea-ice deformation features (cracks and ridges) and major discontinuities in ice thickness.

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