FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4319083577> ?p ?o ?g. }

• W4319083577 endingPage "851" @default.
• W4319083577 startingPage "851" @default.
• W4319083577 abstract "Accurately mapping land use/land cover changes (LULCC) and forest disturbances provides valuable information for understanding the influence of anthropogenic activities on the environment at regional and global scales. Many approaches using satellite remote sensing data have been proposed for characterizing these long-term changes. However, a spatially and temporally consistent mapping of both LULCC and forest disturbances at medium spatial resolution is still limited despite their critical contributions to the carbon cycle. In this study, we examined the applicability of Landsat time series temporal segmentation and random forest classifiers to mapping LULCC and forest disturbances in Vietnam. We used the LandTrendr temporal segmentation algorithm to derive key features of land use/land cover transitions and forest disturbances from annual Landsat time series data. We developed separate random forest models for classifying land use/land cover and detecting forest disturbances at each segment and then derived LULCC and forest disturbances that coincided with each other during the period of 1988–2019. The results showed that both LULCC classification and forest disturbance detection achieved low accuracy in several classes (e.g., producer’s and user’s accuracies of 23.7% and 78.8%, respectively, for forest disturbance class); however, the level of accuracy was comparable to that of existing datasets using the same reference samples in the study area. We found relatively high confusion between several land use/land cover classes (e.g., grass/shrub, forest, and cropland) that can explain the lower overall accuracies of 67.6% and 68.4% in 1988 and 2019, respectively. The mapping of forest disturbances and LULCC suggested that most forest disturbances were followed by forest recovery, not by transitions to other land use/land cover classes. The landscape complexity and ephemeral forest disturbances contributed to the lower classification and detection accuracies in this study area. Nevertheless, temporal segmentation and derived features from LandTrendr were useful for the consistent mapping of LULCC and forest disturbances. We recommend that future studies focus on improving the accuracy of forest disturbance detection, especially in areas with subtle landscape changes, as well as land use/land cover classification in ambiguous and complex landscapes. Using more training samples and effective variables would potentially improve the classification and detection accuracies." @default.
• W4319083577 created "2023-02-04" @default.
• W4319083577 creator A5017572268 @default.
• W4319083577 creator A5041947551 @default.
• W4319083577 creator A5047001650 @default.
• W4319083577 creator A5052063834 @default.
• W4319083577 date "2023-02-03" @default.
• W4319083577 modified "2023-09-26" @default.
• W4319083577 title "Mapping Land Use/Land Cover Changes and Forest Disturbances in Vietnam Using a Landsat Temporal Segmentation Algorithm" @default.
• W4319083577 cites W1976581977 @default.
• W4319083577 cites W1978617972 @default.
• W4319083577 cites W1981213426 @default.
• W4319083577 cites W1989726747 @default.
• W4319083577 cites W1999635212 @default.
• W4319083577 cites W2011500029 @default.
• W4319083577 cites W2028240797 @default.
• W4319083577 cites W2031600437 @default.
• W4319083577 cites W2040667072 @default.
• W4319083577 cites W2047466865 @default.
• W4319083577 cites W2055718260 @default.
• W4319083577 cites W2063623478 @default.
• W4319083577 cites W2068167377 @default.
• W4319083577 cites W2084744129 @default.
• W4319083577 cites W2092141993 @default.
• W4319083577 cites W2095270531 @default.
• W4319083577 cites W2105770001 @default.
• W4319083577 cites W2130239832 @default.
• W4319083577 cites W2131615718 @default.
• W4319083577 cites W2140908571 @default.
• W4319083577 cites W2161336494 @default.
• W4319083577 cites W2167787089 @default.
• W4319083577 cites W2234018419 @default.
• W4319083577 cites W2344328155 @default.
• W4319083577 cites W2395612237 @default.
• W4319083577 cites W2405931735 @default.
• W4319083577 cites W2527347850 @default.
• W4319083577 cites W2532913256 @default.
• W4319083577 cites W2578106389 @default.
• W4319083577 cites W2598828605 @default.
• W4319083577 cites W2605847660 @default.
• W4319083577 cites W2725897987 @default.
• W4319083577 cites W2735042947 @default.
• W4319083577 cites W2760835880 @default.
• W4319083577 cites W2769358239 @default.
• W4319083577 cites W2794040130 @default.
• W4319083577 cites W2794891691 @default.
• W4319083577 cites W2795861402 @default.
• W4319083577 cites W2801667818 @default.
• W4319083577 cites W2803433330 @default.
• W4319083577 cites W2809079570 @default.
• W4319083577 cites W2885696803 @default.
• W4319083577 cites W2890658853 @default.
• W4319083577 cites W2900636113 @default.
• W4319083577 cites W2903301943 @default.
• W4319083577 cites W2911964244 @default.
• W4319083577 cites W2912657755 @default.
• W4319083577 cites W2944712366 @default.
• W4319083577 cites W2944764093 @default.
• W4319083577 cites W2953011380 @default.
• W4319083577 cites W2981243833 @default.
• W4319083577 cites W2981801792 @default.
• W4319083577 cites W2987399229 @default.
• W4319083577 cites W3013341479 @default.
• W4319083577 cites W3014372673 @default.
• W4319083577 cites W3043213779 @default.
• W4319083577 cites W3046806865 @default.
• W4319083577 cites W3047019821 @default.
• W4319083577 cites W3084376721 @default.
• W4319083577 cites W3091877960 @default.
• W4319083577 cites W3133316753 @default.
• W4319083577 cites W3155799782 @default.
• W4319083577 cites W3158474128 @default.
• W4319083577 cites W3160044914 @default.
• W4319083577 cites W3160891842 @default.
• W4319083577 cites W3165131500 @default.
• W4319083577 cites W3172621387 @default.
• W4319083577 cites W3183054026 @default.
• W4319083577 cites W3217211428 @default.
• W4319083577 cites W4211187781 @default.
• W4319083577 cites W4220825380 @default.
• W4319083577 cites W4220889269 @default.
• W4319083577 cites W4221000154 @default.
• W4319083577 cites W4221029456 @default.
• W4319083577 cites W4229033556 @default.
• W4319083577 cites W4280651780 @default.
• W4319083577 cites W4281617319 @default.
• W4319083577 cites W4281619551 @default.
• W4319083577 cites W4284704084 @default.
• W4319083577 cites W4288420805 @default.
• W4319083577 cites W4297831333 @default.
• W4319083577 cites W773459379 @default.
• W4319083577 cites W3081215292 @default.
• W4319083577 doi "https://doi.org/10.3390/rs15030851" @default.
• W4319083577 hasPublicationYear "2023" @default.
• W4319083577 type Work @default.
• W4319083577 citedByCount "1" @default.
• W4319083577 countsByYear W43190835772023 @default.
• W4319083577 crossrefType "journal-article" @default.

• next