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1. Evaluating coupled influences of slope class and land use change on water quality using single and composite indices in an agricultural basin NSTL国家科技图书文献中心

Lei, Chaogui -  《Catena》 - 2025,248 - 共12页

摘要:) of pollution and their key relationships with land |  characteristics in land use processes acting on water quality in |  different land use types with varying slopes on sediment | , cropland with slopes > 5% was among those land use | Understanding the critical source areas (CSAs
关键词: SWAT(3s) model |  Redundancy analysis |  Critical source area |  Slope-separated land use |  Coupled influence

2. Reptile responses to fire across the western Mediterranean Basin NSTL国家科技图书文献中心

Xavier Santos |  Brahim Chergui... -  《Conservation Biology》 - 2025,39(1) - n/a~n/a - 共14页

摘要:, geography, land use, and species‐specific ecology). We | . afforestation), fire age class (time since the last fire |  varied according to fire age class, reaching a peak at | . Community composition varied by fire age class, indicating |  a single fire age class relative to those with a
关键词: afforestation |  fire |  fire age class |  land‐use change |  reptiles |  Cambio de uso de suelo |  clase de edad del fuego |  forestación |  fuego

3. Multi-expert contrastive learning for remote sensing long-tailed image classification NSTL国家科技图书文献中心

Lei Zhang |  Lijia Peng... -  《International journal of remote sensing》 - 2025,46(3/4) - 1517~1542 - 共26页

摘要: head class well, but the tail class is not well |  and the variability of similar land features, this |  inter-class similarity and large intra-class |  key spectral discriminative features of land | ABSTRACT Most existing remote sensing scene
关键词: remote sensing scene classification |  long-tailed distribution |  contrastive learning |  optimal transport

4. Comparison of SAR and Optical Data used in Forest Cover Detection; PALSAR-FNF vs. ESRI LAND-COVER over North Central Türkiye NSTL国家科技图书文献中心

Altunel, A. O. |  Celik, D. A. -  《International Journal of Environmental Science and Technology》 - 2025,22(5) - 3641~3654 - 共14页 - 被引量:1

摘要: and geometrically correct land-cover map of any |  L-band SAR imagery. ESRI Land-cover, on the other |  produced rather detailed land-cover maps including a |  distinct forest class. In this particular study |  accuracies were held with 82% in 2017 ESRI land-cover and
关键词: ESRI Land-cover |  Sentinel-2 |  L-band SAR |  PALSAR2/ |  PALSAR/JERS-1 Mosaic |  FNF Maps

5. Learning transferable land cover semantics for open vocabulary interactions with remote sensing images NSTL国家科技图书文献中心

Zermatten, Valerie |  Castillo-Navarro, Ja...... -  《ISPRS journal of photogrammetry and remote sensing》 - 2025,220(Feb.) - 621~636 - 共16页

摘要:Why should we confine land cover classes to |  rigid and arbitrary definitions? Land cover mapping is | , but the rigorous class definitions can sometimes |  class boundaries. In this work, we propose to use Text |  beyond that of a traditional model for land cover
关键词: Land cover mapping |  Open vocabulary semantic segmentation |  Vision-language model for remote sensing |  CLASSIFICATION |  SEGMENTATION |  NETWORKS |  FUSION

6. Converting land use-land cover to E . coli contamination potential classes for improved management of groundwater wells: a case study in Ontario, Canada NSTL国家科技图书文献中心

White, Katie |  Schuster-Wallace, Co...... -  《Hydrogeology journal》 - 2025,33(1) - 193~203 - 共11页

摘要:Land use-land cover (LULC) types have been | -risk class, urban and aggregate mines in the high | -risk class, forest in the moderate risk class, and |  water and grasslands in the low-risk class. However |  used as a proxy for Escherichia Coli (E. coli
关键词: Groundwater management |  Land use-land cover |  Vulnerability |  Statistical modelling |  Canada

7. Deep Learning Framework for Analysing Land Use and Land Cover Classification and Change Detection NSTL国家科技图书文献中心

Jawed Siddique |  Musfira Jilani... -  《Eighth International Conference on Video and Image Processing (ICVIP 2024)》 -  International Conference on Video and Image Processing - 2025, - 135580K.1~135580K.9 - 共9页

摘要: and land cover class between the two study years | Land Use (LU) refers to the way humans utilize |  land. Land Cover (LC) describes visible features on |  the land surface. Land use includes artificial |  surfaces and agricultural areas, while land cover
关键词: Land use |  Land cover |  Change detection |  Sentinal-2 |  Deep learning |  Image classification |  Land resource management

8. Differences in the storage of soil organic carbon in Brazil's agricultural land: A meta -analysis NSTL国家科技图书文献中心

Medeiros, Aldair de ... |  Cesario, Fernando Vi...... -  《Catena》 - 2025,249 - 共9页

摘要: how mean rainfall, land use time, soil class, and |  land use are essential, due to constant global |  different land uses on SOC stocks in Brazil and explore | , in Brazil, land-use change and management systems |  from most of the world. The type of land use and
关键词: Carbon storage |  Global warming |  Agriculture |  Pasture |  Integrated crop-livestock

9. An intelligent method to identify land use changes in an urban watershed in Iran NSTL国家科技图书文献中心

Eshghizadeh, Masoud |  Mohammadpoor, Mojtab... -  《GeoJournal》 - 2025,90(1) - 共12页 - 被引量:1

摘要: in land use are essential factors in the |  to monitor urban growth and land use changes. This |  study aims to identify changes in four classes of land |  use, residential, rangeland, barren land, and |  irrigated agricultural land in the Gonabad urban watershed
关键词: CLAHE |  Classification |  Landsat |  Remote sensing |  Residential |  SVM |  Urban development

10. Influence of green space on land surface temperature in the coastal cities in Bangladesh NSTL国家科技图书文献中心

Md. Tariqul Islam |  Zia Ahmed... -  《Environment, development and sustainability》 - 2025,27(2) - 5133~5155 - 共23页

摘要: to any other land use class. LST rises with the |  coastal land surface temperature (LST). Using geospatial |  land use land cover classes. Results showed green |  reduction. The rising land surface temperatures can be | Green space reduction substantially affects
关键词: Landsat |  Remote sensing |  GIS |  NDVI |  NDBI |  LST
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