242 related articles for article (PubMed ID: 27543751)
1. Using remote sensing in support of environmental management: A framework for selecting products, algorithms and methods.
de Klerk HM; Gilbertson J; Lück-Vogel M; Kemp J; Munch Z
J Environ Manage; 2016 Nov; 182():564-573. PubMed ID: 27543751
[TBL] [Abstract][Full Text] [Related]
2. A hyper-temporal remote sensing protocol for high-resolution mapping of ecological sites.
Maynard JJ; Karl JW
PLoS One; 2017; 12(4):e0175201. PubMed ID: 28414731
[TBL] [Abstract][Full Text] [Related]
3. Identification and mapping of natural vegetation on a coastal site using a Worldview-2 satellite image.
Rapinel S; Clément B; Magnanon S; Sellin V; Hubert-Moy L
J Environ Manage; 2014 Nov; 144():236-46. PubMed ID: 24973612
[TBL] [Abstract][Full Text] [Related]
4. Assessment and statistical modeling of the relationship between remotely sensed aerosol optical depth and PM2.5 in the eastern United States.
Paciorek CJ; Liu Y;
Res Rep Health Eff Inst; 2012 May; (167):5-83; discussion 85-91. PubMed ID: 22838153
[TBL] [Abstract][Full Text] [Related]
5. High Resolution Mapping of Soil Properties Using Remote Sensing Variables in South-Western Burkina Faso: A Comparison of Machine Learning and Multiple Linear Regression Models.
Forkuor G; Hounkpatin OK; Welp G; Thiel M
PLoS One; 2017; 12(1):e0170478. PubMed ID: 28114334
[TBL] [Abstract][Full Text] [Related]
6. Rangeland Condition Monitoring: A New Approach Using Cross-Fence Comparisons of Remotely Sensed Vegetation.
Kilpatrick AD; Lewis MM; Ostendorf B
PLoS One; 2015; 10(11):e0142742. PubMed ID: 26565801
[TBL] [Abstract][Full Text] [Related]
7. Depth Estimation of Submerged Aquatic Vegetation in Clear Water Streams Using Low-Altitude Optical Remote Sensing.
Visser F; Buis K; Verschoren V; Meire P
Sensors (Basel); 2015 Sep; 15(10):25287-312. PubMed ID: 26437410
[TBL] [Abstract][Full Text] [Related]
8. Improved Support Vector Machine Enabled Radial Basis Function and Linear Variants for Remote Sensing Image Classification.
Razaque A; Ben Haj Frej M; Almi'ani M; Alotaibi M; Alotaibi B
Sensors (Basel); 2021 Jun; 21(13):. PubMed ID: 34203466
[TBL] [Abstract][Full Text] [Related]
9. Forest tree species identification and its response to spatial scale based on multispectral and multi-resolution remotely sensed data.
Xu KJ; Tian QJ; Yue JB; Tang SF
Ying Yong Sheng Tai Xue Bao; 2018 Dec; 29(12):3986-3994. PubMed ID: 30584725
[TBL] [Abstract][Full Text] [Related]
10. [Object-oriented segmentation and classification of forest gap based on QuickBird remote sensing image.].
Mao XG; Du ZH; Liu JQ; Chen SX; Hou JY
Ying Yong Sheng Tai Xue Bao; 2018 Jan; 29(1):44-52. PubMed ID: 29692011
[TBL] [Abstract][Full Text] [Related]
11. Land use and land cover (LULC) of the Republic of the Maldives: first national map and LULC change analysis using remote-sensing data.
Fallati L; Savini A; Sterlacchini S; Galli P
Environ Monit Assess; 2017 Aug; 189(8):417. PubMed ID: 28748428
[TBL] [Abstract][Full Text] [Related]
12. Comparison of object-oriented remote sensing image classification based on different decision trees in forest area.
Chen LP; Sun YJ
Ying Yong Sheng Tai Xue Bao; 2018 Dec; 29(12):3995-4003. PubMed ID: 30584726
[TBL] [Abstract][Full Text] [Related]
13. A simple semi-automatic approach for land cover classification from multispectral remote sensing imagery.
Jiang D; Huang Y; Zhuang D; Zhu Y; Xu X; Ren H
PLoS One; 2012; 7(9):e45889. PubMed ID: 23049886
[TBL] [Abstract][Full Text] [Related]
14. Modeling vegetation heights from high resolution stereo aerial photography: an application for broad-scale rangeland monitoring.
Gillan JK; Karl JW; Duniway M; Elaksher A
J Environ Manage; 2014 Nov; 144():226-35. PubMed ID: 24973611
[TBL] [Abstract][Full Text] [Related]
15. Ten ways remote sensing can contribute to conservation.
Rose RA; Byler D; Eastman JR; Fleishman E; Geller G; Goetz S; Guild L; Hamilton H; Hansen M; Headley R; Hewson J; Horning N; Kaplin BA; Laporte N; Leidner A; Leimgruber P; Morisette J; Musinsky J; Pintea L; Prados A; Radeloff VC; Rowen M; Saatchi S; Schill S; Tabor K; Turner W; Vodacek A; Vogelmann J; Wegmann M; Wilkie D; Wilson C
Conserv Biol; 2015 Apr; 29(2):350-9. PubMed ID: 25319024
[TBL] [Abstract][Full Text] [Related]
16. Remote sensing image subpixel mapping based on adaptive differential evolution.
Zhong Y; Zhang L
IEEE Trans Syst Man Cybern B Cybern; 2012 Oct; 42(5):1306-29. PubMed ID: 22510950
[TBL] [Abstract][Full Text] [Related]
17. Using of Multi-Source and Multi-Temporal Remote Sensing Data Improves Crop-Type Mapping in the Subtropical Agriculture Region.
Sun C; Bian Y; Zhou T; Pan J
Sensors (Basel); 2019 May; 19(10):. PubMed ID: 31130689
[TBL] [Abstract][Full Text] [Related]
18. Response of the regression tree model to high resolution remote sensing data for predicting percent tree cover in a Mediterranean ecosystem.
Donmez C; Berberoglu S; Erdogan MA; Tanriover AA; Cilek A
Environ Monit Assess; 2015 Feb; 187(2):4. PubMed ID: 25604062
[TBL] [Abstract][Full Text] [Related]
19. Mapping and dynamic monitoring of military training-induced vegetation cover loss using Sentinel-2 images and method comparison.
Xu X; Ban B; Howard HR; Chen S; Wang G
Environ Monit Assess; 2023 Jan; 195(2):320. PubMed ID: 36689091
[TBL] [Abstract][Full Text] [Related]
20. Detecting the development stages of natural forests in northern Iran with different algorithms and high-resolution data from GeoEye-1.
Mahdavi Saeidi A; Babaie Kafaky S; Mataji A
Environ Monit Assess; 2020 Sep; 192(10):653. PubMed ID: 32964340
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
