Application of MODIS land surface temperature data: a systematic literature review and analysis

Phan, Thanh Noi; Kappas, Martin

doi:10.1117/1.jrs.12.041501

Cited by 43 publications

(29 citation statements)

References 146 publications

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“…To estimate vegetation N stock values of our virtual farm we first assessed the percentage of savanna that is covered by vegetation (grasses and trees). For this, we used Sentinel 2 multiband (RGB‐VNIR) imagery over Kapiti Research Station to carry out a supervised land surface classification using a Random Forest (e.g., Phan and Kappas 2018 ). Canopy vegetation is here defined as trees and large shrubs that grow from a central trunk and branch out to shade the ground beneath.…”

Section: Methodsmentioning

confidence: 99%

Nitrogen cycling in pastoral livestock systems in Sub‐Saharan Africa: knowns and unknowns

Carbonell

Merbold

Díaz‐Pinés

et al. 2021

Ecological Applications

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Pastoral systems are the dominant livestock production system in arid and semiarid regions of sub-Saharan Africa (SSA). They are often the only form of agriculture that can be practised due to unfavourable climate and soil fertility levels that prevent crop cultivation. Pastoralism can have negative impacts on the environment, including land degradation, greenhouse gas emissions and other gases to the atmosphere, soil erosion, water pollution and biodiversity loss. Here, we review the current knowledge on nitrogen (N) cycling, storage and loss pathways, with an emphasis on identification of N emission hotspots.Our review reports a large uncertainty in the amount of N lost as ammonia from excreta and manure storage, as well as N losses via nitrate and DON leaching. We also found that another major N loss pathway (18%) -soil N 2 emissions -has not yet been measured. In order to summarize the available information, we use a virtual pastoral farm, with characteristics and management practices obtained from a real farm, Kapiti Research Station in Kenya. For outlining N flows at this virtual farm, we used published data, data from global studies, satellite imagery and geographic information system (GIS) tools. Our results show that N inputs in pastoral systems are dominated by atmospheric N deposition (approx. 80 %), while inputs due to biological nitrogen fixation seems to play a smaller role. A major N loss pathway is nitrogen leaching (nitrate > DON) from pastures (33%). Cattle enclosures (bomas), where animals are kept during night, represent N emissions hotspots, representing 16 % of the total N losses from the system. N losses via ammonia volatilization and N 2 O were four and three orders of magnitude higher from bomas than from the pasture, respectively. Based on our results, we further identify future research requirements and highlight the urgent need for experimental data collection to quantify nitrogen losses from manure in animal congregation areas. Such information is needed to improve our understanding on N cycling in pastoral systems in semi-arid regions and to provide practical recommendations for managers that can help with decision-making on management strategies in pastoral systems in semi-arid savannas.

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Section: Methodsmentioning

confidence: 99%

Nitrogen cycling in pastoral livestock systems in Sub‐Saharan Africa: knowns and unknowns

Carbonell

Merbold

Díaz‐Pinés

et al. 2021

Ecological Applications

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“…We also obtained percentage impervious and percentage canopy cover raster data layers from MRLC (2011) and rescaled these to 1 km resolution by the average impervious or canopy fraction within each 1 km pixel (Figure 2c,d). LST data from MODIS were used to interrogate SUHI patterns and contrasts, as guided by the recent findings by Phan and Kappas (2018) that MODIS is both highly popular for and highly suitable for SUHI analysis [73]. Although of coarser resolution than Landsat and other sensors, the four-times daily return interval, strong surface temperature fidelity, and readily available post-processed LST data product yield MODIS a practical edge for applications over a variety of city to region to global scales [73].…”

Section: Methodsmentioning

confidence: 99%

“…LST data from MODIS were used to interrogate SUHI patterns and contrasts, as guided by the recent findings by Phan and Kappas (2018) that MODIS is both highly popular for and highly suitable for SUHI analysis [73]. Although of coarser resolution than Landsat and other sensors, the four-times daily return interval, strong surface temperature fidelity, and readily available post-processed LST data product yield MODIS a practical edge for applications over a variety of city to region to global scales [73]. The Aqua satellite of the MODIS Terra-Aqua pair is thought to pass overhead at a time to record data more similar to the true daily maximum temperatures [73], and so was used in this study.…”

Section: Methodsmentioning

confidence: 99%

“…Although of coarser resolution than Landsat and other sensors, the four-times daily return interval, strong surface temperature fidelity, and readily available post-processed LST data product yield MODIS a practical edge for applications over a variety of city to region to global scales [73]. The Aqua satellite of the MODIS Terra-Aqua pair is thought to pass overhead at a time to record data more similar to the true daily maximum temperatures [73], and so was used in this study. The raster of maximum daily MODIS Aqua LST data for the study area were obtained from Climate Engine (climateengine.org) for the exemplary date 16 August 2012, resulting in a cloud-free, complete data set ( Figure 2b).…”

Section: Methodsmentioning

confidence: 99%

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Urban-Rural Surface Temperature Deviation and Intra-Urban Variations Contained by an Urban Growth Boundary

2019

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The urban heat island (UHI) concept describes heat trapping that elevates urban temperatures relative to rural temperatures, at least in temperate/humid regions. In drylands, urban irrigation can instead produce an urban cool island (UCI) effect. However, the UHI/UCI characterization suffers from uncertainty in choosing representative urban/rural endmembers, an artificial dichotomy between UHIs and UCIs, and lack of consistent terminology for other patterns of thermal variation at nested scales. We use the case of a historically well-enforced urban growth boundary (UGB) around Portland (Oregon, USA): to explore the representativeness of the surface temperature UHI (SUHI) as derived from Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature data, to test common assumptions of characteristically “warm” or “cool” land covers (LCs), and to name other common urban thermal features of interest. We find that the UGB contains heat as well as sprawl, inducing a sharp surface temperature contrast across the urban/rural boundary. The contrast ranges widely depending on the end-members chosen, across a spectrum from positive (SUHI) to negative (SUCI) values. We propose a new, inclusive “urban thermal deviation” (UTD) term to span the spectrum of possible UHI-zero-UCI conditions. We also distinguish at finer scales “microthermal extremes” (MTEs), discrete areas tending in the same thermal direction as their LC or surroundings but to extreme (hot or cold) values, and microthermal anomalies (MTAs), that run counter to thermal expectations or tendencies for their LC or surroundings. The distinction is important because MTEs suggest a need for moderation in the local thermal landscape, whereas MTAs may suggest solutions.

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“…LST derived from satellite remote sensing usually covers the entire TP, providing indispensable observed evidence over this data-sparse region. More specifically, LST products from the Moderate-Resolution Imaging Spectroradiometer (MODIS) are some of the best quality data ( Phan & Kappas, 2018 ; Wan et al, 2017 ; Wan, 2008 ; Wang et al, 2007 ), with high temporal frequency (four daily satellite overpasses) and spatial resolution (500 m), and have been trustworthily employed as a surrogate for or a supplementary source to LST changes since 2000 ( Jin & Mullens, 2012 ; Li et al, 2019a ; Zhang et al, 2014 ; Zhong et al, 2010 ). However, it is difficult to fully understand the physical processes and mechanisms of LST changes and to quantitatively analyze the contributions of various elements to the TP land surface energy and water changes only by relying on remote sensing data ( Chang et al, 2020 ; Ji, Yuan & Li, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Evaluating and improving simulations of diurnal variation in land surface temperature with the Community Land Model for the Tibetan Plateau

Jin

Zhu

et al. 2021

PeerJ

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This study evaluated and improved the ability of the Community Land Model version 5.0 (CLM5.0) in simulating the diurnal land surface temperature (LST) cycle for the whole Tibetan Plateau (TP) by comparing it with Moderate Resolution Imaging Spectroradiometer satellite observations. During daytime, the model underestimated the LST on sparsely vegetated areas in summer, whereas cold biases occurred over the whole TP in winter. The lower simulated daytime LST resulted from weaker heat transfer resistances and greater soil thermal conductivity in the model, which generated a stronger heat flux transferred to the deep soil. During nighttime, CLM5.0 overestimated LST for the whole TP in both two seasons. These warm biases were mainly due to the greater soil thermal inertia, which is also related to greater soil thermal conductivity and wetter surface soil layer in the model. We employed the sensible heat roughness length scheme from Zeng, Wang & Wang (2012), the recommended soil thermal conductivity scheme from Dai et al. (2019), and the modified soil evaporation resistance parameterization, which was appropriate for the TP soil texture, to improve simulated daytime and nighttime LST, evapotranspiration, and surface (0–10 cm) soil moisture. In addition, the model produced lower daytime LST in winter because of overestimation of the snow cover fraction and an inaccurate atmospheric forcing dataset in the northwestern TP. In summary, this study reveals the reasons for biases when simulating LST variation, improves the simulations of turbulent fluxes and LST, and further shows that satellite-based observations can help enhance the land surface model parameterization and unobservable land surface processes on the TP.

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Application of MODIS land surface temperature data: a systematic literature review and analysis

Cited by 43 publications

References 146 publications

Nitrogen cycling in pastoral livestock systems in Sub‐Saharan Africa: knowns and unknowns

Nitrogen cycling in pastoral livestock systems in Sub‐Saharan Africa: knowns and unknowns

Urban-Rural Surface Temperature Deviation and Intra-Urban Variations Contained by an Urban Growth Boundary

Evaluating and improving simulations of diurnal variation in land surface temperature with the Community Land Model for the Tibetan Plateau

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