Soil moisture data using citizen science technology cross-validated by satellite data

Karamouz, ‪Mohammad; Ebrahimi, Elham; Ghomlaghi, Arash

doi:10.2166/hydro.2021.029

Cited by 7 publications

(7 citation statements)

References 28 publications

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“…These areas are the points of monoculture establishments (negative con trol) t hat did n ot receive treatment to control the pest (green areas of Figures 7 and 8). The soil moisture (Mohanty et al, 2000;Karamouz et al, 2021) and temperature data (Teixeira et al, 2012) were better fitted to the Gaussian model. This suggests that both variables present a regu lar an d con tinuous spatial distribution (Teixeira et al, 2012).…”

Section: Variographic Analysismentioning

confidence: 99%

Geostatistical analysis of fall armyworm damage and edaphoclimatic conditions of a mosaic of agroecosystems predominated by push-pull systems

Guera

Castrejón-Ayala²,

Robledo³

et al. 2023

Chil. j. agric. res.

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Some agroecological pest management systems manipulate insect behavior. The push-pull systems are the most functional implemented, reducing the insect-pest density and modifying it s dist ribution. The present work analyzed the spatial distribution of incidence and severity of fall armyworm (FAW) (Spodoptera frugiperda (J.E. Smith), Lepidoptera: Noctuidae), and soil moisture and temperature in m aize (Zea mays L.) crops of a mosaic of agroecosystems predominated by push-pull systems est ablished in Yau tepec, Morelos, Mexico. Univariate and multivariate spatial estimates were performed by geostat istical analysis applying ordinary kriging and cokriging, respectively. The results indicated that FAW incidence and severity presented an aggregated spatial distribution and soil moisture and temperature, a more continuous distribution. The estimated spatial distributions in the third week indicated that FAW in cidence in pu sh -pull systems varied between 10% and 40%, and in maize monocultures, between 35% and 90%. Fall armyworm dam age severity ranged between 20% and 70% in monocultures and between 1% and 25% in the push-pull systems.

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Section: Variographic Analysismentioning

confidence: 99%

Geostatistical analysis of fall armyworm damage and edaphoclimatic conditions of a mosaic of agroecosystems predominated by push-pull systems

Guera

Castrejón-Ayala²,

Robledo³

et al. 2023

Chil. j. agric. res.

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“…This study is not suitable to be applied for regions with limited field data. See Karamouz, Ebrahimi, and Ghomlaghi (2021), Karamouz, Teymoori, and Olyaei (2021) for a sample study of using satellite data for regions with almost no in‐situ data. Based on the comprehensive literature review, this approach has not been investigated yet.…”

Section: Introductionmentioning

confidence: 99%

“…Having satellite SM data with finer than resolutions is a breakthrough to allow these regions to exercise the benefits of SM in drought and flood studies. Karamouz, Ebrahimi, and Ghomlaghi (2021), combined citizen science subjective SM and MODIS satellite Land surface temperature (LST) (500 km resolution) data to estimate SM data in a remote area in the central part of Iran. Wildfire is another side effect of climate change around the world that has its casual roots in the reduction of SM.…”

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confidence: 99%

“…Machine-learning methods alone cannot consider the local characteristics of SM for downscaling. In addition, geostatistical methods such as kriging cannot entirely identify the nonlinear relationship between variables (Karamouz, Ebrahimi, and Ghomlaghi, 2021;Karamouz & Fereshtehpour, 2019;Karamouz, Teymoori, and Olyaei, 2021). Several papers in the literature state the potential of ANN in SM estimation, such as Jiang and Cotton (2004), Gupta et al (2014), andAraya et al (2021).…”

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confidence: 99%

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A Remote Sensing Driven Soil Moisture Estimator: Uncertain Downscaling With Geostatistically Based Use of Ancillary Data

Karamouz

Alipour

Roohinia

et al. 2022

Water Resources Research

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Climate change directly impacts climatic factors like temperature and precipitation, resulting in devastating natural disasters. Soil moisture (SM) (defined as the water contained in the unsaturated soil zone) is a long-term indicator when investigating climate change. It plays a crucial role in water, energy, and carbon flow between soil and the atmosphere (McColl et al., 2017). SM could also be a factor in predicting and monitoring floods and droughts (Hu et al., 2020). Thus it is essential to have SM at suitable spatial scales, potentially enhancing the representation of hydrological and weather prediction in evapotranspiration, runoff, and precipitation models (Alemohammad et al., 2018). SM is the most important indicator of a region's water availability and climate change impacts. This was realized in the 1960s when Palmer Drought Severity Index was developed primarily based on SM variations. Palmer (1965) and many other relevant works have continued on SM measures as a driving force in regional water resources planning. Its position has been realized as the key basic hydrogeological data especially with the recent advances in SM data collection instrumentations, SM networking such as what is implemented in Oklahoma (Mesonet), and satellite technology advancement (Karamouz et al., 2022;McPherson et al., 2007). Although many in situ SM networks are available online but the scarcity of SM data in many developing regions is a serious issue that prevents a full advantage of utilizing this vital data in water balance assessments. Having satellite SM data with finer than resolutions is a breakthrough to allow these regions to exercise the benefits of SM in drought and flood studies. Karamouz, Ebrahimi, and Ghomlaghi (2021), combined citizen science subjective SM and MODIS satellite Land surface temperature (LST) (500 km resolution) data to estimate SM data in a remote area in the central part of Iran. Wildfire is another side effect of climate change around the world that has its casual roots in the reduction of SM. SM influences vegetation growth conditions. Dry vegetation and its root increase the flammability of the vegetation/trees. However, owing to a lack of global observation-based SM data, previous studies have focused on case studies at local to regional scales. Benefitting from recent advances in the satellite-based derivation of surface SM, new studies have been performed, analyzing on the global scale the role of SM in the occurrence of large wildfires (Hou & Orth, 2020).Flood is one of the most catastrophic natural disasters in the United States, particularly in the Southeast, where hurricanes and tropical storms are most prevalent, causing billions of dollars in damage annually and significant

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“…parameters of estuarine waters in a river mouth (e.g., temperature, pH, and other technical information) conducted by one of the CSs. Related works that are collaborated by CSs have provided data on water quality (San Llorente Capdevila et al, 2020) and real-time estimation of soil moisture(Karamouz et al, 2021), suggesting the potential roles of CS in the recording of the physical environment. Further, a study byBabiso et al (2023) has included training of the CSs on water quality data recording (and other related conditions), which results have shown good agreement for selected parameters, thus providing an accurate data set.…”

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confidence: 99%

Citizen Science in the Philippines: Coastal biodiversity engagements on a small island

Aldea

2024

JMIC

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The community's extreme perception of volunteerism (97%) for conservation on a small island relates to the limited resources and coastline vulnerability. This probably results in various types of citizen scientists associated with different coastal biodiversity projects. To elucidate these aspects, I explored the public’s perception of participation in biodiversity conservation, the citizen science groups and their engagements (including profile by gender, age, and frequency of activity), as well as the potential ecological drawback of the engagement (primarily involving Independent Citizen Scientists). Results suggest that the public has a high perception of willingness to participate in citizen science (with three Types of Citizen Scientists). Gender prevalence in the participation is evident (suggesting viable options of participation for both genders) while the age and frequency of activities suggest that younger and more active individuals are significantly present in one type (Independent Citizen Scientists). Data gathering and public services demonstrate the contribution of citizen science to productive coastal biodiversity engagements on the island, although a potentially misguided activity, is also identified. It is emphasized, however, that this does not discourage any type of citizen scientists. This study recommends policy formulation and extended interventions in the island’s coastal biodiversity programs.

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Soil moisture data using citizen science technology cross-validated by satellite data

Cited by 7 publications

References 28 publications

Geostatistical analysis of fall armyworm damage and edaphoclimatic conditions of a mosaic of agroecosystems predominated by push-pull systems

Geostatistical analysis of fall armyworm damage and edaphoclimatic conditions of a mosaic of agroecosystems predominated by push-pull systems

A Remote Sensing Driven Soil Moisture Estimator: Uncertain Downscaling With Geostatistically Based Use of Ancillary Data

Citizen Science in the Philippines: Coastal biodiversity engagements on a small island

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