-
A novel spaceborne photon-counting laser altimeter denoising method based on parameter-adaptive density clustering GISci. Remote Sens. (IF 6.7) Pub Date : 2024-03-15 Ren Liu, Xinming Tang, Junfeng Xie, Rujia Ma, Fan Mo, Xiaomeng Yang
To tackle the challenge of denoising spaceborne photon-counting laser altimeter point clouds with uneven noise density, this study proposes a denoising method based on adaptive parameter density cl...
-
Mapping invasive noxious weed species in the alpine grassland ecosystems using very high spatial resolution UAV hyperspectral imagery and a novel deep learning model GISci. Remote Sens. (IF 6.7) Pub Date : 2024-03-13 Fei Xing, Ru An, Xulin Guo, Xiaoji Shen
The term “invasive noxious weed species” (INWS), which refers to noxious weed plants that invade native alpine grasslands, has increasingly become an ecological and economic threat in the alpine gr...
-
U-SeqNet: learning spatiotemporal mapping relationships for multimodal multitemporal cloud removal GISci. Remote Sens. (IF 6.7) Pub Date : 2024-03-14 Qian Zhang, Xiangnan Liu, Tao Peng, Xiao Yang, Mengzhen Tang, Xinyu Zou, Meiling Liu, Ling Wu, Tingwei Zhang
Optical remotely sensed time series data have various key applications in Earth surface dynamics. However, cloud cover significantly hampers data analysis and interpretation. Despite synthetic aper...
-
Bridging satellite missions: deep transfer learning for enhanced tropical cyclone intensity estimation GISci. Remote Sens. (IF 6.7) Pub Date : 2024-03-11 Minki Choo, Yejin Kim, Juhyun Lee, Jungho Im, Il-Ju Moon
Geostationary satellites are valuable tools for monitoring the entire lifetime of tropical cyclones (TCs). Although the most widely used method for TC intensity estimation is manual, several automa...
-
Cloud restoration of optical satellite imagery using time-series spectral similarity group GISci. Remote Sens. (IF 6.7) Pub Date : 2024-03-05 Yerin Yun, Jinha Jung, Youkyung Han
According to climate statistics, clouds cover more than a third of the Earth’s land surface on average. This cloud coverage obstructs optical satellite imagery, resulting in a loss of essential inf...
-
Process-based and geostationary meteorological satellite-enhanced dead fuel moisture content estimation GISci. Remote Sens. (IF 6.7) Pub Date : 2024-03-05 Chunquan Fan, Binbin He, Jianpeng Yin, Rui Chen, Hongguo Zhang
Dead fuel moisture content (DFMC) is essential for assessing wildfire danger, fire behavior, and fuel consumption. Several process-based models have been proposed to estimate DFMC. Previous studies...
-
Inferring the heterogeneous effect of urban land use on building height with causal machine learning GISci. Remote Sens. (IF 6.7) Pub Date : 2024-02-25 Yimin Chen, Jing Chen, Shuai Zhao, Xiaocong Xu, Xiaoping Liu, Xinchang Zhang, Honghui Zhang
Machine learning has become an important approach for land use change modeling. However, conventional machine learning algorithms are limited in their ability to capture causal relationships in lan...
-
Fine classification of crops based on an inductive transfer learning method with compact polarimetric SAR images GISci. Remote Sens. (IF 6.7) Pub Date : 2024-02-23 Xianyu Guo, Junjun Yin, Jian Yang
Compact polarimetric synthetic aperture radar (CP SAR) reduces fully polarimetric SAR system complexity and expands the imaging swath. Generally, fine classification of crop types relies on many la...
-
Multiresolution soil moisture products based on a spatially adaptive estimation model and CYGNSS data GISci. Remote Sens. (IF 6.7) Pub Date : 2024-02-20 Yan Jia, Jiaqi Zou, Shuanggen Jin, Qingyun Yan, Yixiang Chen, Yan Jin, Patrizia Savi
The estimation of soil moisture (SM) utilizing the data from the Cyclone Global Navigation Satellite System (CYGNSS) has attracted significant interest in recent times. However, CYGNSS’ inherent ca...
-
Remote sensing of terrestrial gross primary productivity: a review of advances in theoretical foundation, key parameters and methods GISci. Remote Sens. (IF 6.7) Pub Date : 2024-02-20 Wenquan Zhu, Zhiying Xie, Cenliang Zhao, Zhoutao Zheng, Kun Qiao, Dailiang Peng, Yongshuo H. Fu
Accurately estimating gross primary productivity (GPP), the largest carbon flux in terrestrial ecosystems, is crucial for advancing our understanding of global carbon cycle and predicting climate f...
-
Quantitative assessment of the scale conversion from instantaneous to daily GPP under various sky conditions based on MODIS local overpassing time GISci. Remote Sens. (IF 6.7) Pub Date : 2024-02-20 Junghee Lee, Jungho Im
With the increasing frequency of extreme events, daily gross primary productivity (GPP) is necessary to be accurately assessed to determine when and how much it is affected. Fluctuating environment...
-
Relationship between ecological spatial network and vegetation carbon use efficiency in the Yellow River Basin, China GISci. Remote Sens. (IF 6.7) Pub Date : 2024-02-18 Chenglong Xu, Xiang Chen, Qiang Yu, Buyanbaatar Avirmed, Jikai Zhao, Wei Liu, Weijie Sun
Vegetation, as a crucial carbon sink, is facing extensive degradation under the mounting pressures of urbanization and excessive resource exploitation, exacerbating the imbalance between carbon sou...
-
Cross-comparison of Landsat-8 and Landsat-9 data: a three-level approach based on underfly images GISci. Remote Sens. (IF 6.7) Pub Date : 2024-02-16 Hanqiu Xu, Mengjie Ren, Mengjing Lin
The recently launched Landsat-9 has an important mission of working together with Landsat-8 to reduce the revisit period of Landsat Earth observations to eight days. This requires the data of Lands...
-
Land subsidence in Beijing: response to the joint influence of the South-to-North Water Diversion Project and ecological water replenishment, observed by satellite radar interferometry GISci. Remote Sens. (IF 6.7) Pub Date : 2024-02-15 Min Shi, Mingliang Gao, Zheng Chen, Mingyuan Lyu, Huili Gong, Yuanzheng Zhai, Yun Pan
The South-to-North Water Diversion Project Middle Route (SNWD-MR) annually diverts hundreds of millions of cubic meters of water from the Danjiangkou Reservoir to Beijing, significantly impacting t...
-
Italian COSMO-SkyMed atlas: R-Index and the percentage of measurability of movement GISci. Remote Sens. (IF 6.7) Pub Date : 2024-02-12 Giuseppe Bausilio, Mohammad Amin Khalili, Maria Virelli, Diego Di Martire
SAR (Synthetic Aperture Radar) satellite interferometry is a helpful remote sensing technique for large areas analyses and monitoring, especially where the study area is difficult to access for pra...
-
A novel landslide susceptibility prediction framework based on contrastive loss GISci. Remote Sens. (IF 6.7) Pub Date : 2024-02-02 Shubing Ouyang, Weitao Chen, Hangyuan Liu, Yuanyao Li, Zhanya Xu
Recently, the positive unlabeled (PU) learning algorithms have proven highly effective in generating accurate landslide susceptibility maps. The algorithms categorize samples exclusively into posit...
-
Multi-year mapping of cropping systems in regions with smallholder farms from Sentinel-2 images in Google Earth engine GISci. Remote Sens. (IF 6.7) Pub Date : 2024-02-02 Hongwei Qi, Ximin Qian, Songhao Shang, Heyang Wan
Accurate acquisition of spatial and temporal distribution information for cropping systems is important for agricultural production and food security. The challenges of extracting information about...
-
An improved change detection method for high-resolution soil moisture mapping in permafrost regions GISci. Remote Sens. (IF 6.7) Pub Date : 2024-02-05 Shaojie Du, Pan Duan, Tianjie Zhao, Zhen Wang, Shengda Niu, Chunfeng Ma, Defu Zou, Panpan Yao, Peng Guo, Dong Fan, Qi Gao, Jingyao Zheng, Zhiqing Peng, Haishen Lü, Jiancheng Shi
Soil moisture plays a crucial role in understanding the hydrological cycle and the ecological environment. This research presents an improved change detection method that leverages time series data...
-
An investigation of inversion method to measure the radial velocity of Kuroshio from Sentinel-1 SAR data GISci. Remote Sens. (IF 6.7) Pub Date : 2024-01-19 Benhua Tan, Lihua Wang, Dechen Ge, Zhen Fang, Weiwei Sun, Tian Feng
Studies on the retrieval of ocean surface current by Synthetic Aperture Radar (SAR) mainly concentrate on coastal regions with land coverage, allowing for continuous land to estimate non-geophysica...
-
Global and local magnitude and spatial pattern of uncertainty from geographically adaptive empirical and machine learning satellite-derived bathymetry models GISci. Remote Sens. (IF 6.7) Pub Date : 2024-01-16 Kim Lowell, Yuri Rzhanov
The spatial structure of local uncertainty of shallow-water satellite-derived bathymetry (SDB) relative to model type, imagery, and geographical adaptability was examined for an area near Key West,...
-
Deeply supervised network for airborne LiDAR tree classification incorporating dual attention mechanisms GISci. Remote Sens. (IF 6.7) Pub Date : 2024-01-18 Zhenyu Zhang, Jian Wang, Yunze Wu, Youlong Zhao, Binjie Wu
Accurately identifying tree species is crucial in digital forestry. Several airborne LiDAR-based classification frameworks have been proposed to facilitate work in this area, and they have achieved...
-
Landsat-observed changes in forest cover and attribution analysis over Northern China from 1996‒2020 GISci. Remote Sens. (IF 6.7) Pub Date : 2024-01-15 Xiaobang Liu, Shunlin Liang, Han Ma, Bing Li, Yufang Zhang, Yingying Li, Tao He, Guodong Zhang, Jianglei Xu, Changhao Xiong, Rui Ma, Wenfu Wu, Jiahua Teng
Forest dynamics provide important information on the ecological environment. The Three-North Shelter Forest Program (TNSFP) is one of the world’s largest reforestation/afforestation programs, howev...
-
Mobility difference index: a quantitative method for detecting human mobility difference GISci. Remote Sens. (IF 6.7) Pub Date : 2024-01-15 Zhaohui Liu, Rui Li, Jing Cai, Qiushi Hu, Huayi Wu
Differences in human mobility reflect temporal variations and spatial differences in urban spaces, including regional functions, physical environments, and geographical sentiments. Accurately quant...
-
Land cover changes in grassland landscapes: combining enhanced Landsat data composition, LandTrendr, and machine learning classification in google earth engine with MLP-ANN scenario forecasting GISci. Remote Sens. (IF 6.7) Pub Date : 2024-01-16 Cecilia Parracciani, Daniela Gigante, Onisimo Mutanga, Stefania Bonafoni, Marco Vizzari
Understanding grassland habitat dynamics in space and time is crucial for evaluating the effectiveness of protection measures and developing sustainable management practices, specifically within th...
-
A multi-source data approach to carbon stock prediction using Bayesian hierarchical geostatistical models in plantation forest ecosystems GISci. Remote Sens. (IF 6.7) Pub Date : 2024-01-16 Tsikai S. Chinembiri, Onisimo Mutanga, Timothy Dube
Modeling of environmental phenomena is usually confounded by the influence of multiple factors existing at different time and spatial scales. Bayesian modeling is presumed to be the best approach f...
-
Exploring the frozen frontier: unmanned aerial vehicles and multispectral sensors unveiling cryosphere dynamics in East Antarctica’s Dronning Maud Land GISci. Remote Sens. (IF 6.7) Pub Date : 2024-01-10 Geetha Priya M, Krishna Venkatesh
In this study, we investigated specific components and intra-seasonal dynamic processes that play pivotal roles in the East Antarctica’s central Dronning Maud Land (cDML) region. The present study ...
-
Characterization of north Greenland polynyas with super-resolved passive microwave sea ice concentration GISci. Remote Sens. (IF 6.7) Pub Date : 2024-01-04 Xiaomin Liu, Tiantian Feng, Yushi Yang, Rongxing Li
Located at the easternmost sector of the Last Ice Area (LIA) with the oldest and thickest sea ice, the north of Greenland has witnessed some unprecedented polynyas since 2018, receiving considerabl...
-
Analysis of spatio-temporal patterns of vegetation carbon use efficiency in watershed ecosystem and construction of ecological network: a case study of the Yangtze River Basin GISci. Remote Sens. (IF 6.7) Pub Date : 2024-01-04 Jikai Zhao, Qiang Yu, Chenglong Xu, Jun Ma, Fei Wang
Watershed ecosystems play a crucial role in the global carbon cycle, and the feedback effects of carbon cycling will have significant implications for future climate change. Therefore, this study u...
-
Mapping the tidal marshes of coastal Virginia: a hierarchical transfer learning approach GISci. Remote Sens. (IF 6.7) Pub Date : 2023-12-21 Zhonghui Lv, Karinna Nunez, Ethan Brewer, Dan Runfola
Coastal wetlands, especially tidal marshes, play a crucial role in supporting ecosystems and slowing shoreline erosion. Accurate and cost-effective identification and classification of various mars...
-
Satellite A-DInSAR pattern recognition for seismic vulnerability mapping at city scale: insights from the L’Aquila (Italy) case study GISci. Remote Sens. (IF 6.7) Pub Date : 2023-12-21 Alessandra Sciortino, Roberta Marini, Vincenzo Guerriero, Paolo Mazzanti, Marco Spadi, Marco Tallini
L’Aquila downtown (Central Italy) is situated in a highly seismic region, making it susceptible to numerous historical and recent earthquakes. Among these, the earthquake of Mw 6.3 on 6 April 2009,...
-
Detailed wetland-type classification using Landsat-8 time-series images: a pixel- and object-based algorithm with knowledge (POK) GISci. Remote Sens. (IF 6.7) Pub Date : 2023-12-15 Kaifeng Peng, Weiguo Jiang, Peng Hou, Zhifeng Wu, Tiejun Cui
Mapping detailed wetland types can offer useful information for wetland management and protection, which can strongly support the Global Biodiversity Framework. Many studies have conducted wetland ...
-
Diagnosing urban traffic anomalies by integrating geographic knowledge and tensor theory GISci. Remote Sens. (IF 6.7) Pub Date : 2023-12-15 Zilong Zhao, Luliang Tang, Chang Ren, Xue Yang, Zihan Kan, Qingquan Li
Urban traffic anomaly diagnosis is crucial for urban road management and smart city construction. Most existing methods perform anomaly detection from a data-driven perspective and ignore the uniqu...
-
A deep learning framework to map riverbed sand mining budgets in large tropical deltas GISci. Remote Sens. (IF 6.7) Pub Date : 2023-12-13 Sonu Kumar, Edward Park, Dung Duc Tran, Jingyu Wang, Huu Loc Ho, Lian Feng, Sameh A. Kantoush, Doan Van Binh, Dongfeng Li, Adam D. Switzer
Rapid urbanization has dramatically increased the demand for river sand, leading to soaring sand extraction rates that often exceed natural replenishment in many rivers globally. However, our under...
-
Accuracy evaluation and effect factor analysis of GEDI aboveground biomass product for temperate forests in the conterminous United States GISci. Remote Sens. (IF 6.7) Pub Date : 2023-12-12 Duo Jia, Cangjiao Wang, Christopher R. Hakkenberg, Izaya Numata, Andrew J. Elmore, Mark A. Cochrane
The Global Ecosystem Dynamics Investigation (GEDI) is expected to revolutionize the quantification of aboveground carbon at continental scales, through its unprecedented dense vertical observations...
-
A spatial hierarchical learning module based cellular automata model for simulating urban expansion: case studies of three Chinese urban areas GISci. Remote Sens. (IF 6.7) Pub Date : 2023-12-11 Xiaoyong Tan, Min Deng, Kaiqi Chen, Yan Shi, Bingbing Zhao, Qinghao Liu
Understanding the spatio-temporal evolution of urban expansion is essential for urban planning and sustainable development. Recently, cellular automata (CA)-based models have emerged as highly effe...
-
Monitoring and understanding chlorophyll-a concentration changes in lakes in northeastern China using MERIS and OLCI satellite data GISci. Remote Sens. (IF 6.7) Pub Date : 2023-12-06 Lu Zhang, Zhuohang Xin, Qi Guan, Lian Feng, Chuanmin Hu, Chi Zhang, Huicheng Zhou
Lakes in the Northeast Plains-Mountain Lake Region (NPLR) of China face severe risks of eutrophication due to climate change and intensive anthropogenic pressures. As a vital indicator for eutrophi...
-
Climate overtakes vegetation greening in regulating spatiotemporal patterns of soil moisture in arid Central Asia in recent 35 years GISci. Remote Sens. (IF 6.7) Pub Date : 2023-12-06 Nigenare Amantai, Yuanyuan Meng, Jingzhe Wang, Xiangyu Ge, Zhiyao Tang
Satellite datasets have revealed significant greening and soil drying in arid Central Asia. However, the influence mechanism of vegetation and climate on soil moisture dynamics is still unclear. In...
-
A long-term, high-accuracy and seamless 1km soil moisture dataset over the Qinghai-Tibet Plateau during 2001–2020 based on a two-step downscaling method GISci. Remote Sens. (IF 6.7) Pub Date : 2023-12-06 Yulin Shangguan, Xiaoxiao Min, Nan Wang, Cheng Tong, Zhou Shi
Long-term, high-resolution soil moisture (SM) is a vital variable for understanding the water-energy cycle and the impacts of climate change on the Qinghai-Tibet Plateau (QTP). However, most existi...
-
Coupled effects of solar illumination and phenology on vegetation index determination: an analysis over the Amazonian forests using the SuperDove satellite constellation GISci. Remote Sens. (IF 6.7) Pub Date : 2023-12-06 Lênio Soares Galvão, Caio Arlanche Petri, Ricardo Dalagnol
Despite the importance of the Amazonian rainforests in the global carbon cycle, their phenological responses measured by large field-of-view satellite sensors are still not completely understood. I...
-
Fine-grained wetland classification for national wetland reserves using multi-source remote sensing data and Pixel Information Expert Engine (PIE-Engine) GISci. Remote Sens. (IF 6.7) Pub Date : 2023-11-27 Han Liu, Tongkui Liao, Yu Wang, Xiaoming Qian, Xiaochen Liu, Chengming Li, Shiwei Li, Zhanlei Guan, Lijue Zhu, Xiaoyuan Zhou, Chong Liu, Tengyun Hu, Ming Luo
Timely and accurate wetland information is necessary for wetland resource management. Recent advances in machine learning and remote sensing have facilitated cost-effective monitoring of wetlands. ...
-
Histogram matching-based semantic segmentation model for crop classification with Sentinel-2 satellite imagery GISci. Remote Sens. (IF 6.7) Pub Date : 2023-11-16 Lijun Wang, Yang Bai, Jiayao Wang, Zheng Zhou, Fen Qin, Jiyuan Hu
Accurate and near-real-time crop mapping from satellite imagery is crucial for agricultural monitoring. However, the seasonal nature of crops makes it challenging to rely on traditional machine lea...
-
An innovative lightweight 1D-CNN model for efficient monitoring of large-scale forest composition: a case study of Heilongjiang Province, China GISci. Remote Sens. (IF 6.7) Pub Date : 2023-11-10 Ye Ma, Zhen Zhen, Fengri Li, Fujuan Feng, Yinghui Zhao
Large-scale forest composition mapping and change monitoring are essential for regional and national forest resource management, monitoring, and carbon stock assessment. However, the existing large...
-
Impacts of the data quality of remote sensing vegetation index on gross primary productivity estimation GISci. Remote Sens. (IF 6.7) Pub Date : 2023-11-10 Yinghao Sun, Dan Peng, Xiaobin Guan, Dong Chu, Yongming Ma, Huanfeng Shen
As the most commonly used driven data for gross primary productivity (GPP) estimation, satellite remote sensing vegetation indexes (VI), such as the leaf area index (LAI), often seriously suffer fr...
-
Nearshore bathymetry estimation through dual-time phase satellite imagery in the absence of in-situ data GISci. Remote Sens. (IF 6.7) Pub Date : 2023-11-09 Xiaohan Zhang, Wei Han, Jun Li, Lizhe Wang
Accurate bathymetric information is an important foundation for marine resource development and nearshore ecological protection. Existing empirical algorithms can estimate water depth from high res...
-
Polyline simplification using a region proposal network integrating raster and vector features GISci. Remote Sens. (IF 6.7) Pub Date : 2023-10-30 Baode Jiang, Shaofen Xu, Zhiwei Li
Polyline simplification is crucial for cartography and spatial database management. In recent decades, various rule-based algorithms for vector polyline simplification have been proposed. However, ...
-
Upscaling peatland mapping with drone-derived imagery: impact of spatial resolution and vegetation characteristics GISci. Remote Sens. (IF 6.7) Pub Date : 2023-10-23 Jasper Steenvoorden, Juul Limpens
Northern peatland functions are strongly associated with vegetation structure and composition. While large-scale monitoring of functions through remotely sensed mapping of vegetation patterns is th...
-
Leaf area index and aboveground biomass estimation of an alpine peatland with a UAV multi-sensor approach GISci. Remote Sens. (IF 6.7) Pub Date : 2023-10-26 Marco Assiri, Anna Sartori, Antonio Persichetti, Cristiano Miele, Regine Anne Faelga, Tegan Blount, Sonia Silvestri
Aboveground biomass (AGB) can serve as an indicator when estimating various biogeochemical processes in peatlands, an ecosystem which provides countless ecosystem services and plays a key role in c...
-
Surface deformation detection and attribution in the Mountain-Oasis-Desert Landscape in north Tianshan Mountains GISci. Remote Sens. (IF 6.7) Pub Date : 2023-10-26 Binbin Fan, Geping Luo, Olaf Hellwich, Xuguo Shi, Friday U. Ochege
The Mountain-Oasis-Desert System (MODS) is the fundamental landscape component within the vast arid region of Central Asia. Human activities and natural processes cause surface displacement in the ...
-
D-FusionNet: road extraction from remote sensing images using dilated convolutional block GISci. Remote Sens. (IF 6.7) Pub Date : 2023-10-25 Ruixuan Zhang, Wu Zhu, Yankui Li, Tiansheng Song, Zhenhong Li, Wenjing Yang, Luyao Yang, Tian Zhou, Xuanyu Xu
Deep learning techniques have been applied to extract road areas from remote sensing images, leveraging their efficient and intelligent advantages. However, the contradiction between the effective ...
-
An improved deep learning network for AOD retrieving from remote sensing imagery focusing on sub-pixel cloud GISci. Remote Sens. (IF 6.7) Pub Date : 2023-10-14 He Cai, Bo Zhong, Huilin Liu, Bailin Du, Qinhuo Liu, Shanlong Wu, Li Li, Aixia Yang, Junjun Wu, Xingfa Gu, Jinxiong Jiang
Following the success of MODIS, several widely used algorithms have been developed for different satellite sensors to provide global aerosol optical depth (AOD) products. Despite the progress made ...
-
Failure process and three-dimensional motions of mining-induced Jianshanying landslide in China observed by optical, LiDAR and SAR datasets GISci. Remote Sens. (IF 6.7) Pub Date : 2023-10-11 Chaoying Zhao, Liquan Chen, Yueping Yin, Xiaojie Liu, Bin Li, Chaofeng Ren, Donglie Liu
The occurrence of collapses and landslides due to underground mining has its unique failure mechanism, especially in the Karst mountainous regions of China. Spaceborne and airborne remote sensing o...
-
Dynamic variations in thermal regime and surface deformation along the drainage channel for an expanding lake on the Tibetan Plateau GISci. Remote Sens. (IF 6.7) Pub Date : 2023-10-10 Zekun Ding, Fujun Niu, Yanhu Mu, Guoyu Li, Mingtang Chai, Zeyong Gao, Ling Chen, Kun Zhang, Yuncheng Mao
The outburst of Zonag Lake in 2011 triggered a series of floods in the continuous permafrost region of the hinterland of the Qinghai-Tibet Plateau. This re-distributed the surface water in the basi...
-
Simulating urban growth by coupling macro-processes and micro-dynamics: a case study on Wuhan, China GISci. Remote Sens. (IF 6.7) Pub Date : 2023-10-05 Yunqi Guo, Limin Jiao, Xianzeng Yang, Jia Li, Gang Xu
The urban form influences the quality of urban functions and is strongly correlated with the sustaining capabilities of urban development. However, in the context of rapid urbanization, unreasonabl...
-
Machine learning-based detection of irrigation in Vojvodina (Serbia) using Sentinel-2 data GISci. Remote Sens. (IF 6.7) Pub Date : 2023-10-02 Mirjana Radulović, Sanja Brdar, Branislav Pejak, Predrag Lugonja, Ioannis Athanasiadis, Nina Pajević, Dragoslav Pavić, Vladimir Crnojević
With rapid population growth and the high influence of climate change on agricultural productivity, providing enough food is the main challenge in the 21st century. Irrigation, as a hydrological ar...
-
A multitemporal index for the automatic identification of winter wheat based on Sentinel-2 imagery time series GISci. Remote Sens. (IF 6.7) Pub Date : 2023-09-30 Yi Xie, Shujing Shi, Lan Xun, Pengxin Wang
Timely and accurate monitoring of the spatial distribution of wheat is crucial for wheat field management, growth monitoring, yield estimation and prediction. In this study, a multitemporal index, ...
-
Reconstruction of a large-scale realistic three-dimensional (3-D) mountain forest scene for radiative transfer simulations GISci. Remote Sens. (IF 6.7) Pub Date : 2023-09-30 Xiaohan Lin, Ainong Li, Jinhu Bian, Zhengjian Zhang, Guangbin Lei, Limin Chen, Jianbo Qi
The realistic three-dimensional (3D) forest scene is an important input to 3D radiative transfer simulations, which are essential for analyzing the reflective properties of forest canopies. Previou...
-
Coral reef applications of Landsat-8: geomorphic zonation and benthic habitat mapping of Xisha Islands, China GISci. Remote Sens. (IF 6.7) Pub Date : 2023-09-27 Mingjun He, Junyu He, Yajun Zhou, Liyuan Sun, Shuangyan He, Cong Liu, Yanzhen Gu, Peiliang Li
Being one of the most significant and valuable coral reef systems in the South China Sea, the Xisha Islands has undergone rapid transformation due to increasing stressors from human impacts and cli...
-
Performance, effectiveness and computational efficiency of powerline extraction methods for quantifying ecosystem structure from light detection and ranging GISci. Remote Sens. (IF 6.7) Pub Date : 2023-09-22 Yifang Shi, W. Daniel Kissling
National and regional data products of the ecosystem structure derived from airborne laser scanning (ALS) surveys with Light Detection And Ranging (LiDAR) technology are essential for ecology, biod...
-
An improved color consistency optimization method based on the reference image contaminated by clouds GISci. Remote Sens. (IF 6.7) Pub Date : 2023-09-19 Zhonghua Hong, Changyou Xu, Xiaohua Tong, Shijie Liu, Ruyan Zhou, Haiyan Pan, Yun Zhang, Yanling Han, Jing Wang, Shuhu Yang
Optimizing color consistency across multiple images is a crucial step in creating accurate digital orthophoto maps (DOMs). However, current color balance methods that rely on a reference image are ...
-
The superiority of the Adjusted Normalized Difference Snow Index (ANDSI) for mapping glaciers using Sentinel-2 multispectral satellite imagery GISci. Remote Sens. (IF 6.7) Pub Date : 2023-09-19 Babak Mohammadi, Petter Pilesjö, Zheng Duan
Accurate monitoring of glaciers’ extents and their dynamics is essential for improving our understanding of the impacts of climate and environmental changes in cold regions. The satellite-based Nor...