Instance segmentation of center pivot irrigation systems using multi-temporal SENTINEL-1 SAR images

Albuquerque, Anesmar Olino de; Carvalho, Osmar Luiz Ferreira de; Silva, Cristiano Rosa e; de, Pablo Pozzobon; Gomes, Roberto Arnaldo Trancoso; Borges, Díbio Leandro; Guimarães, Renato Fontes; Pimentel, Concepta Margaret McManus

doi:10.1016/j.rsase.2021.100537

Cited by 10 publications

(5 citation statements)

References 46 publications

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“…Assim, as redes neurais convolucionais (RNN), baseadas em aprendizado profundo (deep learning, ou DL), têm se apresentado como alternativa para automatização (Saraiva et al, 2020;Carvalho et al, 2021). Duas técnicas baseadas em DL têm se destacado nos estudos realizados no Cerrado brasileiro nos últimos anos, a segmentação semântica (Albuquerque et al, 2020;Saraiva et al, 2020) e a segmentação de instâncias (Albuquerque et al, 2021;Carvalho et al, 2021).…”

Section: Anounclassified

“…A Figura 10 ilustra exemplos resultantes de mapeamentos automáticos de pivôs centrais com segmentação semântica e de instâncias. A classificação orientada ao objeto, a partir dessas técnicas, foi realizada com conjuntos de imagens multiespectrais de resoluções espaciais variadas, como PlanetScope (Saraiva et al, 2021), de alta resolução espacial e temporal, e Landsat Operational Land Imager (OLI) (Albuquerque et al, 2020;Albuquerque et al, 2021;Carvalho et al, 2021), de média resolução, com medianas mensais ou apenas uma imagem por período (seco e chuvoso), não sendo necessárias longas séries temporais. Os autores revelaram que a classificação automatizada de pivôs centrais com DL é uma estratégia possível e promissora, com altos níveis de acurácia (> 85%), indicando que o mapeamento e monitoramento dos SIPCs, ao longo do tempo, possa ser realizado com maior periodicidade, em tempo quase-real, e envolvendo menores custos, favorecendo toda a cadeia de análises relacionadas ao planejamento, gestão e manejo do uso da água dos tipos agrícolas produzidos, bem como o monitoramento dos impactos ambientais desses sistemas.…”

Section: Anounclassified

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Dinâmica espaço-temporal da expansão de pivôs centrais e da diversificação agrícola no município de Casa Branca (SP)

Parreiras,

Bolfe,

Sano

et al. 2024

Labor e Eng.

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Este trabalho teve, como objetivo, avaliar a forte expansão de sistemas de irrigação por pivôs centrais (SIPCs) no município paulista de Casa Branca, entre 1985 e 2019, por meio da análise da dinâmica espaço-temporal da produção agrícola, além dos possíveis impactos ambientais e do papel do sensoriamento remoto no seu monitoramento. Neste período, Casa Branca tornou-se o segundo município do Brasil com maior área relativa ocupada por SIPCs, consolidando-se como o mais relevante dentre os municípios do Polo Nacional de Irrigação Vertentes do Rio Pardo e Mogi-Guaçu (PRPMG). A expansão dos SIPCs ocorreu sobre áreas anteriormente ocupadas por lavouras de sequeiro e pastagens, sem supressão da vegetação nativa. Houve aumento expressivo da produção e no portfólio de lavouras temporárias, desconcentração das terras, com aumento no número de estabelecimentos rurais de menor área, e consolidação de Casa Branca como um município de agricultura de elevada diversificação. No entanto, o município também é o maior usuário de recursos hídricos da Bacia Hidrográfica do Rio Pardo. Considerando-se os impactos ambientais associados à prática intensiva da irrigação, com implicações diretas nas mudanças climáticas, o monitoramento da sua dinâmica agrícola é crucial para a sustentabilidade ambiental e econômica. Nesse sentido, estudos mostraram que o sensoriamento remoto, ao aliar imagens de satélite a técnicas de aprendizado de máquina ou aprendizado profundo, é uma ferramenta adequada para detecção e mapeamento da dinâmica de sistemas irrigados de produção, beneficiando estratégias de monitoramento de práticas agrícolas que visam maior eficiência e sustentabilidade na agricultura, tais como as de Mensuração, Reportagem/Relato e Verificação (MRV).

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Section: Anounclassified

Dinâmica espaço-temporal da expansão de pivôs centrais e da diversificação agrícola no município de Casa Branca (SP)

Parreiras,

Bolfe,

Sano

et al. 2024

Labor e Eng.

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“…Moreover, the agricultural sector of Pakistan is currently facing issues related to financial limitations, an uneven supply of irrigation water, inadequate storage capacity and a great loss of water during irrigation. The irrigation system of Pakistan is based on the conventional techniques of irrigation, chiefly the flood basin technique [2]. More than 50% of irrigation water is wasted through these old techniques.…”

Section: Introductionmentioning

confidence: 99%

Sustainable Water Management for Small Farmers with Center-Pivot Irrigation: A Hydraulic and Structural Design Perspective

Rashid,

Haider,

Masood

et al. 2023

Sustainability

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In Pakistan, surface water supply for irrigation is decreasing, while water demand is increasing for agriculture production. Also, due to the fast rate of population growth, land holding capacity is decreasing. So, there is a need to develop appropriate technologies and design approaches for small-scale farmers to improve modern irrigation practices. In this study, a hydraulic and structural layout of CPIS was designed for small-scale farmers with some modifications. The hydraulic parameters and structural design of the CPIS were designed using IrriExpress and SAP2000 software, respectively. An economic analysis of the modified CPIS was carried out. The results revealed that in one complete revolution of the whole system, its span slope varied from 2.98 to 0.1%, and the wheel slope varied from 2.35 to −2.4%. The timing setting was 60% for one revolution, and the irrigation depth was 10 mm. When the time setting was reduced from 100% to 10%, the irrigation hours per cycle and irrigation depth both increased. Variendeel type-II trusses were designed for structural purposes using SAP2000 software. This design led to a 17% reduction in weight by lowering it from 1.916 to 1.5905 tons and a 44% reduction in joint count, decreasing it from 32 to 18. Our economic analysis revealed that the structural part of the system is more expensive than the hydraulic, electric and power parts for small-scale design. So, it was suggested that CPIS is suitable for land holdings from 100 to 250 acres, because when the area increases to more than 250 acres, there is no significant change in the cost. A towable system is more economical for small-scale farmers due to its lower cost per acre. This study will be helpful for the optimization of CPISs to improve water use efficiency and crop yield.

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“…From the machine learning perspective, Zhang et al [36] first explored the implementation of CNNs for center-pivot field detection using three techniques, LeNet, Alexnet, and VGGnet [37][38][39], and used these to detect the central location of fields successfully. Since then, more advanced CNNs were utilized to mask the extent or identify the boundary of center-pivot fields, including fully convolutional networks (e.g., U-net) [40][41][42] and instance segmentation methods such as Mask-RCNNs that utilize region-based CNNs [16,43,44]. However, implementing a single machine learning technique often has limitations, including an inability to segment satellite imagery into individual field objects and the considerable burden of producing or obtaining suitable training data.…”

Section: Introductionmentioning

confidence: 99%

A Retrospective Analysis of National-Scale Agricultural Development in Saudi Arabia from 1990 to 2021

López

Johansen

et al. 2023

Remote Sensing

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Agricultural intensification has resulted in the depletion of groundwater resources in many regions of the world. A prime example is Saudi Arabia, which witnessed dramatic agricultural expansion since the 1970s. To explore the influence of policy interventions aimed to better manage water resources, accurate information on the changes in the number and acreage of center-pivot fields is required. To quantify these metrics, we apply a hybrid machine learning framework, consisting of Density-Based Spatial Clustering of Applications with Noise, Convolutional Neural Networks, and Spectral Clustering, to the annual maximum Normalized Differential Vegetation Index maps obtained from Landsat imagery collected between 1990 to 2021. When evaluated against more than 28,000 manually delineated fields, the approach demonstrated producer’s accuracies ranging from 83.7% to 94.8% and user’s accuracies ranging from 90.2% to 97.9%. The coefficient of determination (R2) between framework-delineated and manually delineated fields was higher than 0.97. Nationally, we found that most fields pre-dated 1990 (covering 8841 km2 in that year) and were primarily located within the central regions covering Hail, Qassim, Riyadh, and Wadi ad-Dawasir. A small decreasing trend in field acreage was observed for the period 1990–2010. However, by 2015, the acreage had increased to approximately 33,000 fields covering 9310 km2. While a maximum extent was achieved in 2016, recent decreases have seen levels return to pre-1990 levels. The gradual decrease between 1990 to 2010 was related to policy initiatives designed to phase-out wheat, while increases between 2010 to 2015 were linked to fodder crop expansion. There is evidence of an agricultural uptick starting in 2021, which is likely in response to global influences such as the COVID-19 pandemic or the conflict in Ukraine. Overall, this work offers the first detailed assessment of long-term agricultural development in Saudi Arabia, and provides important insights related to production metrics such as crop types, crop water consumption, and crop phenology and the overarching impacts of agricultural policy interventions.

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Instance segmentation of center pivot irrigation systems using multi-temporal SENTINEL-1 SAR images

Cited by 10 publications

References 46 publications

Dinâmica espaço-temporal da expansão de pivôs centrais e da diversificação agrícola no município de Casa Branca (SP)

Dinâmica espaço-temporal da expansão de pivôs centrais e da diversificação agrícola no município de Casa Branca (SP)

Sustainable Water Management for Small Farmers with Center-Pivot Irrigation: A Hydraulic and Structural Design Perspective

A Retrospective Analysis of National-Scale Agricultural Development in Saudi Arabia from 1990 to 2021

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