Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction | Paper Citation Record

Observation 703ef565-bd7d-4a1d-9d69-c45556d400b7 · outbound

This paper cites Opportunities and chal- lenges of spaceborne sensors in delineating land surface temperature trends: A review.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Opportunities and chal- lenges of spaceborne sensors in delineating land surface temperature trends: A review

Reference 1

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This paper cites Identification of geothermal potential zone associated with land surface temperature derived from landsat 8 data using split-window algorithm.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Identification of geothermal potential zone associated with land surface temperature derived from landsat 8 data using split-window algorithm

Reference 2

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Observation b77f04a6-5719-4492-9f66-6e28c8ed13b4 · outbound

This paper cites Reconstructing land surface temperature for cloud-covered regions: A review of methods.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Reconstructing land surface temperature for cloud-covered regions: A review of methods

Reference 3

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Observation 0cc894af-e307-4e47-8557-ee175ca5e5b6 · outbound

This paper cites Toward the detection of permafrost using land-surface temperature mapping.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Toward the detection of permafrost using land-surface temperature mapping

Reference 4

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Observation 4441c353-fc8d-4db7-b159-e28102e40d7b · outbound

This paper cites Pan-sharpening with color-aware perceptual loss and guided re-colorization, in: 2020 IEEE International Conference on Image Processing (ICIP), pp.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Pan-sharpening with color-aware perceptual loss and guided re-colorization, in: 2020 IEEE International Conference on Image Processing (ICIP), pp

Reference 5

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Observation dbd74209-0ee7-4b7f-b683-5c4573220a80 · outbound

This paper cites Reconstructing historical climate fields with deep learning.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Reconstructing historical climate fields with deep learning

Reference 6

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This paper cites Principles of Geographical Information Systems.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Principles of Geographical Information Systems

Reference 7

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Observation 0fade572-9ce2-49da-a771-d46bfb57f061 · outbound

This paper cites Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation

Reference 8

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Observation 93df2268-6cbc-4006-a4b9-7cdf25855531 · outbound

This paper cites Missing pixel reconstruction on landsat 8 analysisreadydatalandsurfacetemperatureimagepatchesusingsource-augmentedpartialconvolution.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Missing pixel reconstruction on landsat 8 analysisreadydatalandsurfacetemperatureimagepatchesusingsource-augmentedpartialconvolution

Reference 9

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Observation 479128c3-722b-4732-bff0-9f5840e2c672 · outbound

This paper cites Role of soil thermal inertia in surface temperature and soil moisture-temperature feedback.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Role of soil thermal inertia in surface temperature and soil moisture-temperature feedback

Reference 10

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Observation de7cdf46-2718-4944-834f-88dffda30310 · outbound

This paper cites Enhancing remote sensing image super-resolution guided by bicubic-downsampled low-resolution image.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Enhancing remote sensing image super-resolution guided by bicubic-downsampled low-resolution image

Reference 11

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Observation 8d58e8a2-3bf1-4cb8-a5a5-2ffcdf0993f2 · outbound

This paper cites Remotely sensed land surface temperature- based water stress index for wetland habitats.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Remotely sensed land surface temperature- based water stress index for wetland habitats

Reference 12

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Observation 59a2203d-d51a-47f4-951e-c6bf5ac5a1f3 · outbound

This paper cites 2024 – a second record-breaking year, following the exceptional 2023.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction 2024 – a second record-breaking year, following the exceptional 2023

Reference 13

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Observation 6ba97762-b890-4362-8167-5c818a19a493 · outbound

This paper cites Land surface temperature and emissivity estimation from passive sensor data: Theory and practice-current trends.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Land surface temperature and emissivity estimation from passive sensor data: Theory and practice-current trends

Reference 14

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Observation b6d6a315-f860-4cf9-9a2e-9e8708b60585 · outbound

This paper cites Landsat 8-9 oli/tirs collection 2 level-2 science products.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Landsat 8-9 oli/tirs collection 2 level-2 science products

Reference 15

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Observation 66c77193-26c4-45f7-9e57-51be355eaea5 · outbound

This paper cites Sentinel-1 radar data assessment to estimate crop water stress.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Sentinel-1 radar data assessment to estimate crop water stress

Reference 16

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Observation 8a0a6a43-8c7f-4ce5-91b4-a2ff16cd8e06 · outbound

This paper cites How Hillshade works—ArcMap Documenta- tion.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction How Hillshade works—ArcMap Documenta- tion

Reference 17

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Observation 20f4285f-f10b-40b5-bb31-9d66d872558a · outbound

This paper cites Normalised difference vegetation index 2014-2020 (raster 300 m), global, 10-daily – version 1.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Normalised difference vegetation index 2014-2020 (raster 300 m), global, 10-daily – version 1

Reference 18

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Observation 6197caf8-04e1-4f7c-b91e-f99588781c63 · outbound

This paper cites Normalised difference vegetation index 2020-2025 (raster 300 m), global, 10-daily – version 2.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Normalised difference vegetation index 2020-2025 (raster 300 m), global, 10-daily – version 2

Reference 19

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Observation 4bc5fda1-29ad-4307-87ad-9c0f2562ff94 · outbound

This paper cites Sentinel-1 class c, level-1 ground range detected (grd).

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Sentinel-1 class c, level-1 ground range detected (grd)

Reference 20

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Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Unresolved cited work

Reference 21

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Observation 61f3f236-2c99-4959-8d85-46961f40a611 · outbound

This paper cites Global land sur- face temperature from the along-track scanning radiometers.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Global land sur- face temperature from the along-track scanning radiometers

Reference 22

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Observation e1e2778c-dc60-4497-9d80-cd959435bf5b · outbound

This paper cites The impact of canyon geometry on intra urban and urban-suburban night temperature differences under warm weather conditions.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction The impact of canyon geometry on intra urban and urban-suburban night temperature differences under warm weather conditions

Reference 23

Resolution: verified exact; doi, observed 2026-08-01T10:54:18.966192Z

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Observation 177ca54c-d05e-4125-92d7-5ba93897fc0c · outbound

This paper cites Google earth engine: Planetary-scale geospatial analysis for everyone.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Google earth engine: Planetary-scale geospatial analysis for everyone

Reference 24

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Observation 8fdefdfb-e396-420a-913c-29f69062a2c5 · outbound

This paper cites Mapping environmen- tal suitability changes for arbovirus mosquitoes in southeast asia: 1960–2020.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Mapping environmen- tal suitability changes for arbovirus mosquitoes in southeast asia: 1960–2020

Reference 25

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Observation ad68e0ce-203d-46d3-99e0-19d3c4e9a791 · outbound

This paper cites Stgan: Swin transformer-based 29 gan to achieve remote sensing image super-resolution reconstruction.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Stgan: Swin transformer-based 29 gan to achieve remote sensing image super-resolution reconstruction

Reference 26

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Observation 5ec8ead9-2775-4d2b-8582-b525f3181b98 · outbound

This paper cites Image-to-imagetranslation with conditionaladversarial networks, in: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Image-to-imagetranslation with conditionaladversarial networks, in: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp

Reference 27

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Observation a3e0d317-7459-46f9-9e49-962f07171803 · outbound

This paper cites Assessment of forest fire severity and land surface temperature using google earth engine: a case study of gujarat state, india.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Assessment of forest fire severity and land surface temperature using google earth engine: a case study of gujarat state, india

Reference 28

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Observation 59d5bbea-91e8-4a6f-bf3d-31d0036d9753 · outbound

This paper cites Global land use/land cover with sentinel-2 and deep learning, in: 2021 IEEE International Geoscience and Re- mote Sensing Symposium IGARSS, IEEE.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Global land use/land cover with sentinel-2 and deep learning, in: 2021 IEEE International Geoscience and Re- mote Sensing Symposium IGARSS, IEEE

Reference 29

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Observation 34d6a9f9-7229-481c-9222-9a9be2965c8d · outbound

This paper cites Urban street canyons and heat islands: A system- atic review on morphological solutions.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Urban street canyons and heat islands: A system- atic review on morphological solutions

Reference 30

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Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Unresolved cited work

Reference 31

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Observation 3f5cc36e-90ae-4cfd-a7b3-82382af8e2fc · outbound

This paper cites Spatial and temporal distribution of clouds observed by modis onboard the terra and aqua satellites.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Spatial and temporal distribution of clouds observed by modis onboard the terra and aqua satellites

Reference 32

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Observation 8b0d3663-d575-4ed5-9134-c7b3d1297c3b · outbound

This paper cites Global revisit interval analysis of landsat-8/-9 and sentinel-2a/-2b data for terrestrial monitoring.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Global revisit interval analysis of landsat-8/-9 and sentinel-2a/-2b data for terrestrial monitoring

Reference 33

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Observation cbb51110-e221-4f3b-af49-2de585c22711 · outbound

This paper cites Generating spatiotemporal seamless data of clear-sky land surface temperature using synthetic aperture radar, digital elevation mode, and machine learning over vegetation areas.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Generating spatiotemporal seamless data of clear-sky land surface temperature using synthetic aperture radar, digital elevation mode, and machine learning over vegetation areas

Reference 34

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Observation ec672b5e-e2bb-4f7d-b6c3-29aeb9e83b11 · outbound

This paper cites Evaluation of landsat 8-like land surface temperature by fusing landsat 8 and modis land surface temperature product.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Evaluation of landsat 8-like land surface temperature by fusing landsat 8 and modis land surface temperature product

Reference 35

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Observation 54c31705-1732-4392-94c3-5d4308f038bb · outbound

This paper cites Multi-feature combined cloud and cloud shadow detection in gaofen-1 wide field of view imagery.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Multi-feature combined cloud and cloud shadow detection in gaofen-1 wide field of view imagery

Reference 36

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Observation d0d5d2be-12c5-4cac-a47e-64a12c1658c6 · outbound

This paper cites Satellite- derived land surface temperature: Current status and perspectives.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Satellite- derived land surface temperature: Current status and perspectives

Reference 37

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Observation 368ed6fe-549f-42dc-9e9f-2efc70d681c7 · outbound

This paper cites Swint-srgan: Swintransformerenhancedgenerativeadversarial network for image super-resolution.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Swint-srgan: Swintransformerenhancedgenerativeadversarial network for image super-resolution

Reference 38

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Observation 3a61a170-f16c-4f19-88c6-0703e6a34dc5 · outbound

This paper cites A review of reconstructing remotely sensed land surface temperature under cloudy conditions.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction A review of reconstructing remotely sensed land surface temperature under cloudy conditions

Reference 39

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This paper cites Leveraging geographic information system for dengue surveillance: A scoping review.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Leveraging geographic information system for dengue surveillance: A scoping review

Reference 40

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Observation 743882f4-e2c4-4133-8ae0-b52c1e48f84c · outbound

This paper cites Analysis of land surface temperature (lst) in bur ni geureudong geothermal field, aceh, indonesia using landsat 8 oli / tirs images.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Analysis of land surface temperature (lst) in bur ni geureudong geothermal field, aceh, indonesia using landsat 8 oli / tirs images

Reference 41

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This paper cites Characterizing wildfire behav- ior with ecostress land surface temperature across four california case studies.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Characterizing wildfire behav- ior with ecostress land surface temperature across four california case studies

Reference 42

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Observation 5531ebf6-63f8-4ee9-ab8d-82c9a29d9b28 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 43

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Observation c774308d-cb33-4295-a58f-3b3132750fa3 · outbound

This paper cites Impact of spatial reso- lution and satellite overpass time on evaluation of the surface urban heat island effects.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Impact of spatial reso- lution and satellite overpass time on evaluation of the surface urban heat island effects

Reference 44

Resolution: verified exact; doi, observed 2026-08-01T10:54:18.818425Z

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Observation 5259bc53-ff9b-45c1-bbc5-1cbc3887dda7 · outbound

This paper cites Resolution-robust Large Mask Inpainting with Fourier Convolutions.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Resolution-robust Large Mask Inpainting with Fourier Convolutions

Reference 45

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Observation 8133dd98-6aaf-4177-b247-147bf5f41ceb · outbound

This paper cites Downwelling longwave radiation and sensible heat flux observations are critical for surface temperature and emissivity estimation from flux tower data.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Downwelling longwave radiation and sensible heat flux observations are critical for surface temperature and emissivity estimation from flux tower data

Reference 46

Resolution: verified exact; doi, observed 2026-08-01T10:54:18.805745Z

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Observation a090e6f3-37d8-4c36-9dda-1e18abe6c172 · outbound

This paper cites Sar data applications in earth observation: An overview.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Sar data applications in earth observation: An overview

Reference 47

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Observation 404a3239-26b4-461a-8aa6-efed514c7e56 · outbound

This paper cites Geological Survey, n.d.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Geological Survey, n.d

Reference 48

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Observation fcca2104-0287-49cb-bbb1-f3e45db5f18d · outbound

This paper cites Atmospheric correction algorithm: spectral reflectances (mod09).

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Atmospheric correction algorithm: spectral reflectances (mod09)

Reference 49

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Observation 079cdd18-d7d6-4422-a33a-5cac6940fc1d · outbound

This paper cites Urban heat island: Causes, consequences, and mitigation measures with emphasis on reflective and permeable pavements.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Urban heat island: Causes, consequences, and mitigation measures with emphasis on reflective and permeable pavements

Reference 50

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Observation 3ec149d2-03ee-4915-8d86-f526533261ee · outbound

This paper cites Generating daily land surface temperature at landsat resolution by fusing landsat and modis data.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Generating daily land surface temperature at landsat resolution by fusing landsat and modis data

Reference 51

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This paper cites Spatially continuous and high-resolution land surface temperature product generation: A review of reconstruction and spatiotemporal fusion techniques.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Spatially continuous and high-resolution land surface temperature product generation: A review of reconstruction and spatiotemporal fusion techniques

Reference 52

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This paper cites Shared insights for heat health risk adaptation in metropolitan areas of developing countries.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Shared insights for heat health risk adaptation in metropolitan areas of developing countries

Reference 53

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This paper cites Stgan-cr: A swin transformer-enhanced gan framework for effective cloud removal in satellite imagery, pp.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Stgan-cr: A swin transformer-enhanced gan framework for effective cloud removal in satellite imagery, pp

Reference 54

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This paper cites An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions

Reference 55

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This paper cites Reconstruction of land surface temperatureundercloudyconditionsfromlandsat8datausingannualtemperaturecyclemodel.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Reconstruction of land surface temperatureundercloudyconditionsfromlandsat8datausingannualtemperaturecyclemodel

Reference 56

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This paper cites Earth System Science Data 18, 3889–3933.

Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Earth System Science Data 18, 3889–3933

Reference 2026

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Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Unresolved cited work

Reference 2623

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Fast Fourier Convolutional GAN for 30 m Clear-Sky Land Surface Temperature Gap-Free Reconstruction Unresolved cited work

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