# International Journal of Remote Sensing

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/international-journal-of-remote-sensing/

## Facts

| Field | Value |
| --- | --- |
| Open Access | false |
| ISSN-L | 0143-1161 |
| ISSNs | 0143-1161,1366-5901 |
| OpenAlex ID | https://openalex.org/S117411352 |
| Publisher | Taylor & Francis |

## Journal papers

- [A phenology-based approach to map crop types in the San Joaquin Valley, California](https://scholariq.org/papers/a-phenology-based-approach-to-map-crop-types-in-the-san-joaquin-valley/)
- [The joint use of IHS transform and redundant wavelet decomposition for fusing multispectral and panchromatic images](https://scholariq.org/papers/the-joint-use-of-ihs-transform-and-redundant-wavelet-decomposition-for-fusing/)
- [Surface fires in Jharia coalfield, India-their distribution and estimation of area and temperature from TM data](https://scholariq.org/papers/surface-fires-in-jharia-coalfield-india-their-distribution-and-estimation-of/)
- [Efficient segmentation of urban areas by the VIBI](https://scholariq.org/papers/efficient-segmentation-of-urban-areas-by-the-vibi/)
- [UAV remote sensing monitoring of pine forest diseases based on improved Mask R-CNN](https://scholariq.org/papers/uav-remote-sensing-monitoring-of-pine-forest-diseases-based-on-improved-mask-r/)
- [Assessment of crop damage using space remote sensing and GIS](https://scholariq.org/papers/assessment-of-crop-damage-using-space-remote-sensing-and-gis/)
- [Soil moisture content retrieval based on apparent thermal inertia for Xinjiang province in China](https://scholariq.org/papers/soil-moisture-content-retrieval-based-on-apparent-thermal-inertia-for-xinjiang/)
- [Fuzzy neural network architecture for change detection in remotely sensed imagery](https://scholariq.org/papers/fuzzy-neural-network-architecture-for-change-detection-in-remotely-sensed/)
- [Crop type identification by integration of high-spatial resolution multispectral data with features extracted from coarse-resolution time-series vegetation index data](https://scholariq.org/papers/crop-type-identification-by-integration-of-high-spatial-resolution-multispectral/)
- [Hyperspectral image classification using Walsh Hadamard transform- based key band selection and deep convolutional neural networks](https://scholariq.org/papers/hyperspectral-image-classification-using-walsh-hadamard-transform-based-key-band/)
- [Deep spatio-textural feature driven multi-constraints pool-based active learning model for resource-efficient big earth observations](https://scholariq.org/papers/deep-spatio-textural-feature-driven-multi-constraints-pool-based-active-learning/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.