Add some missing DOIs in readme and docs

Fixes #22 and #30

README.rst

@@ -144,13 +144,16 @@ References
 ==========
 
 Brooks, E.B., Wynne, R.H., Thomas, V.A., Blinn, C.E. and Coulston, J.W., 2013. On-the-fly massively multitemporal change detection using statistical quality control charts and Landsat data. IEEE Transactions on Geoscience and Remote Sensing, 52(6), pp.3316-3332.
+https://doi.org/10.1109/TGRS.2013.2272545
 
 Verbesselt, J., Zeileis, A. and Herold, M., 2012. Near real-time disturbance detection using satellite image time series. Remote Sensing of Environment, 123, pp.98-108.
+https://doi.org/10.1016/j.rse.2012.02.022
 
 Zeileis, A., Leisch, F., Kleiber, C. and Hornik, K., 2005. Monitoring structural change in dynamic econometric models. Journal of Applied Econometrics, 20(1), pp.99-121.
+https://doi.org/10.1002/jae.776
 
 Zhu, Z., Woodcock, C.E. and Olofsson, P., 2012. Continuous monitoring of forest disturbance using all available Landsat imagery. Remote sensing of environment, 122, pp.75-91.
+https://doi.org/10.1016/j.rse.2011.10.030
 
 Zhu, Z. and Woodcock, C.E., 2014. Continuous change detection and classification of land cover using all available Landsat data. Remote sensing of Environment, 144, pp.152-171.
-
-
+https://doi.org/10.1016/j.rse.2014.01.011

docs/gallery/dontplot_bolivia_stac.py

@@ -331,7 +331,9 @@
 #        Monitoring forest cover loss using multiple data streams, a case study
 #        of a tropical dry forest in Bolivia. ISPRS Journal of Photogrammetry
 #        and Remote Sensing, 107, pp.112-125.
+#        https://doi.org/10.1016/j.isprsjprs.2015.03.015
 #
 # .. [2] Zhu, Z., Woodcock, C.E. and Olofsson, P., 2012. Continuous
 #        monitoring of forest disturbance using all available Landsat
 #        imagery. Remote sensing of environment, 122, pp.75-91.     
+#        https://doi.org/10.1016/j.rse.2011.10.030

docs/quickstart.rst

@@ -8,10 +8,10 @@ The nrt package provides near real-time disturbance monitoring algorithms for sp
 
 The following algorithms are implemented:
 
-- EWMA (Brooks et al., 2013)
-- CUSUM (Verbesselt et al., 2012)
-- MOSUM (Verbesselt et al., 2012)
-- CCDC (Zhu et al., 2014)
+- EWMA (Brooks et al., 2013) [1]_
+- CUSUM (Verbesselt et al., 2012) [2]_
+- MOSUM (Verbesselt et al., 2012) [2]_
+- CCDC (Zhu et al., 2012; 2014) [3]_ [4]_
 - IQR
 
 For more information on the basic function of each monitoring method see :ref:`classes`.
@@ -114,6 +114,28 @@ At any time during monitoring a report can be generated by calling
 of all pixels (e.g. not monitored, disturbed, etc.) and another band showing the date when 
 a disturbance was detected in days since 1970-01-01.
 
+References
+==========
+
+.. [1] Brooks, E.B., Wynne, R.H., Thomas, V.A., Blinn, C.E. and Coulston, J.W., 2013.
+   On-the-fly massively multitemporal change detection using statistical quality control charts and Landsat data.
+   IEEE Transactions on Geoscience and Remote Sensing, 52(6), pp.3316-3332.
+   https://doi.org/10.1109/TGRS.2013.2272545
+
+.. [2] Verbesselt, J., Zeileis, A. and Herold, M., 2012.
+   Near real-time disturbance detection using satellite image time series.
+   Remote Sensing of Environment, 123, pp.98-108.
+   https://doi.org/10.1016/j.rse.2012.02.022
+
+.. [3] Zhu, Z., Woodcock, C.E. and Olofsson, P., 2012.
+   Continuous monitoring of forest disturbance using all available Landsat imagery.
+   Remote sensing of environment, 122, pp.75-91.
+   https://doi.org/10.1016/j.rse.2011.10.030
+
+.. [4] Zhu, Z. and Woodcock, C.E., 2014.
+   Continuous change detection and classification of land cover using all available Landsat data.
+   Remote sensing of Environment, 144, pp.152-171.
+   https://doi.org/10.1016/j.rse.2014.01.011